Publications

  • AAAI 2022

    B. Scarlini, T. Pasini, R. Navigli

    Visual Definition Modeling: Challenging Vision & Language Models to Define Words and Objects

    Proc. of the 36th AAAI Conference on Artificial Intelligence (AAAI 2022)

    AAAI 2022

    BibTex

    @inproceedings{inproceedings,
    author = {Scarlini, Bianca and Pasini, Tommaso and Navigli, Roberto},
    year = {2022},
    month = {02},
    pages = {},
    title = {Visual Definition Modeling: Challenging Vision & Language Models to Define Words and Objects}
    }
                    
  • AAAI 2022

    S. Pepe, E. Barba, R. Blloshmi, R. Navigli

    STEPS: Semantic Typing of Event Processes with a Sequence-to-Sequence Approach

    Proc. of the 36th AAAI Conference on Artificial Intelligence (AAAI 2022)

    AAAI 2022

    BibTex

    @inproceedings{inproceedings,
    author = {Pepe, Sveva and Barba, Edoardo and Blloshmi, Rexhina and Navigli, Roberto},
    year = {2022},
    month = {02},
    pages = {},
    title = {STEPS: Semantic Typing of Event Processes with a Sequence-to-Sequence Approach}
    }
                    
  • AAAI 2022

    R. Navigli, R. Blloshmi, A. C. Martinez Lorenzo

    BabelNet Meaning Representation: A Fully Semantic Formalism to Overcome Language Barriers

    Proc. of the 36th AAAI Conference on Artificial Intelligence (AAAI 2022)

    AAAI 2022

    BibTex

    @inproceedings{inproceedings,
    author = {Navigli, Roberto and Blloshmi, Rexhina and Martinez Lorenzo, Abelardo},
    year = {2022},
    month = {02},
    pages = {},
    title = {BabelNet Meaning Representation: A Fully Semantic Formalism to Overcome Language Barriers}
    }
                    
  • ACL 2022

    N. Campolungo, F. Martelli, F. Saina, R. Navigli

    DiBiMT: A Novel Benchmark for Measuring Word Sense Disambiguation Biases in Machine Translation

    Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics

    ACL 2022

    BibTex

    @inproceedings{campolungo-etal-2022-dibimt,
        title = "{D}i{B}i{MT}: A Novel Benchmark for Measuring {W}ord {S}ense {D}isambiguation Biases in {M}achine {T}ranslation",
        author = "Campolungo, Niccol{\`o}  and
          Martelli, Federico  and
          Saina, Francesco  and
          Navigli, Roberto",
        booktitle = "Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
        month = may,
        year = "2022",
        address = "Dublin, Ireland",
        publisher = "Association for Computational Linguistics",
        url = "https://aclanthology.org/2022.acl-long.298",
        pages = "4331--4352",
        abstract = "Lexical ambiguity poses one of the greatest challenges in the field of Machine Translation. Over the last few decades, multiple efforts have been undertaken to investigate incorrect translations caused by the polysemous nature of words. Within this body of research, some studies have posited that models pick up semantic biases existing in the training data, thus producing translation errors. In this paper, we present DiBiMT, the first entirely manually-curated evaluation benchmark which enables an extensive study of semantic biases in Machine Translation of nominal and verbal words in five different language combinations, namely, English and one or other of the following languages: Chinese, German, Italian, Russian and Spanish. Furthermore, we test state-of-the-art Machine Translation systems, both commercial and non-commercial ones, against our new test bed and provide a thorough statistical and linguistic analysis of the results. We release DiBiMT at https://nlp.uniroma1.it/dibimt as a closed benchmark with a public leaderboard.",
    }
                    
  • ACL 2022

    C. Campagnano, S. Conia, R. Navigli

    SRL4E – Semantic Role Labeling for Emotions: A Unified Evaluation Framework

    Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics

    ACL 2022

    BibTex

    @inproceedings{campagnano-etal-2022-srl4e,
        title = "{SRL4E} {--} {S}emantic {R}ole {L}abeling for {E}motions: {A} Unified Evaluation Framework",
        author = "Campagnano, Cesare  and
          Conia, Simone  and
          Navigli, Roberto",
        booktitle = "Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
        month = may,
        year = "2022",
        address = "Dublin, Ireland",
        publisher = "Association for Computational Linguistics",
        url = "https://aclanthology.org/2022.acl-long.314",
        pages = "4586--4601",
        abstract = "In the field of sentiment analysis, several studies have highlighted that a single sentence may express multiple, sometimes contrasting, sentiments and emotions, each with its own experiencer, target and/or cause. To this end, over the past few years researchers have started to collect and annotate data manually, in order to investigate the capabilities of automatic systems not only to distinguish between emotions, but also to capture their semantic constituents. However, currently available gold datasets are heterogeneous in size, domain, format, splits, emotion categories and role labels, making comparisons across different works difficult and hampering progress in the area. In this paper, we tackle this issue and present a unified evaluation framework focused on Semantic Role Labeling for Emotions (SRL4E), in which we unify several datasets tagged with emotions and semantic roles by using a common labeling scheme. We use SRL4E as a benchmark to evaluate how modern pretrained language models perform and analyze where we currently stand in this task, hoping to provide the tools to facilitate studies in this complex area.",
    }
                    
  • ACL 2022

    S. Conia, R. Navigli

    Probing for Predicate Argument Structures in Pretrained Language Models

    Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics

    ACL 2022

    BibTex

    @inproceedings{conia-navigli-2022-probing,
        title = "Probing for Predicate Argument Structures in Pretrained Language Models",
        author = "Conia, Simone  and
          Navigli, Roberto",
        booktitle = "Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
        month = may,
        year = "2022",
        address = "Dublin, Ireland",
        publisher = "Association for Computational Linguistics",
        url = "https://aclanthology.org/2022.acl-long.316",
        pages = "4622--4632",
        abstract = "Thanks to the effectiveness and wide availability of modern pretrained language models (PLMs), recently proposed approaches have achieved remarkable results in dependency- and span-based, multilingual and cross-lingual Semantic Role Labeling (SRL). These results have prompted researchers to investigate the inner workings of modern PLMs with the aim of understanding how, where, and to what extent they encode information about SRL. In this paper, we follow this line of research and probe for predicate argument structures in PLMs. Our study shows that PLMs do encode semantic structures directly into the contextualized representation of a predicate, and also provides insights into the correlation between predicate senses and their structures, the degree of transferability between nominal and verbal structures, and how such structures are encoded across languages. Finally, we look at the practical implications of such insights and demonstrate the benefits of embedding predicate argument structure information into an SRL model.",
    }
                    
  • ACL 2022

    A. C. Martinez Lorenzo, M. Maru, R. Navigli

    Fully-Semantic Parsing and Generation: the BabelNet Meaning Representation

    Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics

    ACL 2022

    BibTex

    @inproceedings{martinez-lorenzo-etal-2022-fully,
        title = "{F}ully-{S}emantic {P}arsing and {G}eneration: the {B}abel{N}et {M}eaning {R}epresentation",
        author = "Mart{\'\i}nez Lorenzo, Abelardo Carlos  and
          Maru, Marco  and
          Navigli, Roberto",
        booktitle = "Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
        month = may,
        year = "2022",
        address = "Dublin, Ireland",
        publisher = "Association for Computational Linguistics",
        url = "https://aclanthology.org/2022.acl-long.121",
        pages = "1727--1741",
        abstract = "A language-independent representation of meaning is one of the most coveted dreams in Natural Language Understanding. With this goal in mind, several formalisms have been proposed as frameworks for meaning representation in Semantic Parsing. And yet, the dependencies these formalisms share with respect to language-specific repositories of knowledge make the objective of closing the gap between high- and low-resourced languages hard to accomplish. In this paper, we present the BabelNet Meaning Representation (BMR), an interlingual formalism that abstracts away from language-specific constraints by taking advantage of the multilingual semantic resources of BabelNet and VerbAtlas. We describe the rationale behind the creation of BMR and put forward BMR 1.0, a dataset labeled entirely according to the new formalism. Moreover, we show how BMR is able to outperform previous formalisms thanks to its fully-semantic framing, which enables top-notch multilingual parsing and generation. We release the code at https://github.com/SapienzaNLP/bmr.",
    }
                    
  • ACL 2022

    M. Maru, S. Conia, M. Bevilacqua, R. Navigli

    Nibbling at the Hard Core of Word Sense Disambiguation

    Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics

    ACL 2022

    BibTex

    @inproceedings{maru-etal-2022-nibbling,
        title = "{N}ibbling at the Hard Core of {W}ord {S}ense {D}isambiguation",
        author = "Maru, Marco  and
          Conia, Simone  and
          Bevilacqua, Michele  and
          Navigli, Roberto",
        booktitle = "Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
        month = may,
        year = "2022",
        address = "Dublin, Ireland",
        publisher = "Association for Computational Linguistics",
        url = "https://aclanthology.org/2022.acl-long.324",
        pages = "4724--4737",
        abstract = "With state-of-the-art systems having finally attained estimated human performance, Word Sense Disambiguation (WSD) has now joined the array of Natural Language Processing tasks that have seemingly been solved, thanks to the vast amounts of knowledge encoded into Transformer-based pre-trained language models. And yet, if we look below the surface of raw figures, it is easy to realize that current approaches still make trivial mistakes that a human would never make. In this work, we provide evidence showing why the F1 score metric should not simply be taken at face value and present an exhaustive analysis of the errors that seven of the most representative state-of-the-art systems for English all-words WSD make on traditional evaluation benchmarks.In addition, we produce and release a collection of test sets featuring (a) an amended version of the standard evaluation benchmark that fixes its lexical and semantic inaccuracies, (b) 42D, a challenge set devised to assess the resilience of systems with respect to least frequent word senses and senses not seen at training time, and (c) hardEN, a challenge set made up solely of instances which none of the investigated state-of-the-art systems can solve. We make all of the test sets and model predictions available to the research community at https://github.com/SapienzaNLP/wsd-hard-benchmark.",
    }
                    
  • ACL 2022

    E. Barba, L. Procopio, R. Navigli

    ExtEnD: Extractive Entity Disambiguation

    Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics

    ACL 2022

    BibTex

    @inproceedings{barba-etal-2022-extend,
        title = "{E}xt{E}n{D}: Extractive Entity Disambiguation",
        author = "Barba, Edoardo  and
          Procopio, Luigi  and
          Navigli, Roberto",
        booktitle = "Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
        month = may,
        year = "2022",
        address = "Dublin, Ireland",
        publisher = "Association for Computational Linguistics",
        url = "https://aclanthology.org/2022.acl-long.177",
        pages = "2478--2488",
        abstract = "Local models for Entity Disambiguation (ED) have today become extremely powerful, in most part thanks to the advent of large pre-trained language models. However, despite their significant performance achievements, most of these approaches frame ED through classification formulations that have intrinsic limitations, both computationally and from a modeling perspective. In contrast with this trend, here we propose ExtEnD, a novel local formulation for ED where we frame this task as a text extraction problem, and present two Transformer-based architectures that implement it. Based on experiments in and out of domain, and training over two different data regimes, we find our approach surpasses all its competitors in terms of both data efficiency and raw performance. ExtEnD outperforms its alternatives by as few as 6 F1 points on the more constrained of the two data regimes and, when moving to the other higher-resourced regime, sets a new state of the art on 4 out of 4 benchmarks under consideration, with average improvements of 0.7 F1 points overall and 1.1 F1 points out of domain. In addition, to gain better insights from our results, we also perform a fine-grained evaluation of our performances on different classes of label frequency, along with an ablation study of our architectural choices and an error analysis. We release our code and models for research purposes at https://github.com/SapienzaNLP/extend.",
    }
                    
  • NAACL 2022

    N. Campolungo, T. Pasini, D. Emelin, R. Navigli

    Reducing Disambiguation Biases in NMT by Leveraging Explicit Word Sense Information

    Proc. of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

    NAACL 2022

    BibTex

    @inproceedings{campolungo-etal-2022-reducing,
        title = "Reducing Disambiguation Biases in {NMT} by Leveraging Explicit Word Sense Information",
        author = "Campolungo, Niccol{\`o}  and
          Pasini, Tommaso  and
          Emelin, Denis  and
          Navigli, Roberto",
        booktitle = "Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
        month = jul,
        year = "2022",
        address = "Seattle, United States",
        publisher = "Association for Computational Linguistics",
        url = "https://aclanthology.org/2022.naacl-main.355",
        pages = "4824--4838",
        abstract = "Recent studies have shed some light on a common pitfall of Neural Machine Translation (NMT) models, stemming from their struggle to disambiguate polysemous words without lapsing into their most frequently occurring senses in the training corpus.In this paper, we first provide a novel approach for automatically creating high-precision sense-annotated parallel corpora, and then put forward a specifically tailored fine-tuning strategy for exploiting these sense annotations during training without introducing any additional requirement at inference time.The use of explicit senses proved to be beneficial to reduce the disambiguation bias of a baseline NMT model, while, at the same time, leading our system to attain higher BLEU scores than its vanilla counterpart in 3 language pairs.",
    }
                    
  • NAACL 2022

    S. Tedeschi, F. Martelli, R. Navigli

    ID10M: Idiom Identification in 10 Languages

    Proc. of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

    NAACL 2022

    BibTex

    @inproceedings{tedeschi-etal-2022-id10m,
        title = "{ID}10{M}: Idiom Identification in 10 Languages",
        author = "Tedeschi, Simone  and
          Martelli, Federico  and
          Navigli, Roberto",
        booktitle = "Findings of the Association for Computational Linguistics: NAACL 2022",
        month = jul,
        year = "2022",
        address = "Seattle, United States",
        publisher = "Association for Computational Linguistics",
        url = "https://aclanthology.org/2022.findings-naacl.208",
        pages = "2715--2726",
        abstract = "Idioms are phrases which present a figurative meaning that cannot be (completely) derived by looking at the meaning of their individual components.Identifying and understanding idioms in context is a crucial goal and a key challenge in a wide range of Natural Language Understanding tasks. Although efforts have been undertaken in this direction, the automatic identification and understanding of idioms is still a largely under-investigated area, especially when operating in a multilingual scenario. In this paper, we address such limitations and put forward several new contributions: we propose a novel multilingual Transformer-based system for the identification of idioms; we produce a high-quality automatically-created training dataset in 10 languages, along with a novel manually-curated evaluation benchmark; finally, we carry out a thorough performance analysis and release our evaluation suite at https://github.com/Babelscape/ID10M.",
    }
                    
  • NAACL 2022

    S. Tedeschi, R. Navigli

    MultiNERD: A Multilingual, Multi-Genre and Fine-Grained Dataset for Named Entity Recognition (and Disambiguation)

    Proc. of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

    NAACL 2022

    BibTex

    @inproceedings{tedeschi-navigli-2022-multinerd,
        title = "{M}ulti{NERD}: A Multilingual, Multi-Genre and Fine-Grained Dataset for Named Entity Recognition (and Disambiguation)",
        author = "Tedeschi, Simone  and
          Navigli, Roberto",
        booktitle = "Findings of the Association for Computational Linguistics: NAACL 2022",
        month = jul,
        year = "2022",
        address = "Seattle, United States",
        publisher = "Association for Computational Linguistics",
        url = "https://aclanthology.org/2022.findings-naacl.60",
        pages = "801--812",
        abstract = "Named Entity Recognition (NER) is the task of identifying named entities in texts and classifying them through specific semantic categories, a process which is crucial for a wide range of NLP applications. Current datasets for NER focus mainly on coarse-grained entity types, tend to consider a single textual genre and to cover a narrow set of languages, thus limiting the general applicability of NER systems.In this work, we design a new methodology for automatically producing NER annotations, and address the aforementioned limitations by introducing a novel dataset that covers 10 languages, 15 NER categories and 2 textual genres.We also introduce a manually-annotated test set, and extensively evaluate the quality of our novel dataset on both this new test set and standard benchmarks for NER.In addition, in our dataset, we include: i) disambiguation information to enable the development of multilingual entity linking systems, and ii) image URLs to encourage the creation of multimodal systems.We release our dataset at https://github.com/Babelscape/multinerd.",
    }
                    
  • AAAI 2021

    T. Pasini, A. Raganato, R. Navigli

    XL-WSD: An Extra-Large and Cross-Lingual Evaluation Framework for Word Sense Disambiguation

    Proc. of the 35th AAAI Conference on Artificial Intelligence (AAAI 2021)

    AAAI 2021

    BibTex

    @inproceedings{pasini-etal-xl-wsd-2021,
      title={ {XL-WSD}: An Extra-Large and Cross-Lingual Evaluation Framework for Word Sense Disambiguation.},
      author={Pasini, Tommaso and Raganato, Alessandro and Navigli, Roberto},
      booktitle={Proc. of AAAI},
      year={2021}
    }
                    
  • AAAI 2021

    M. Bevilacqua, R. Blloshmi, R. Navigli

    One SPRING to Rule Them Both: Symmetric AMR Semantic Parsing and Generation without a Complex Pipeline

    Proc. of the 35th AAAI Conference on Artificial Intelligence (AAAI 2021)

    AAAI 2021

    BibTex

    @inproceedings{bevilacqua-etal-2021-spring,
      title={One {SPRING} to Rule Them Both: {S}ymmetric {AMR} Semantic Parsing and Generation without a Complex Pipeline},
      author={Bevilacqua, Michele and Blloshmi, Rexhina and Navigli, Roberto},
      booktitle={Proc. of AAAI},
      year={2021}
    }
                    
  • EACL 2021

    S. Conia, R. Navigli

    Framing Word Sense Disambiguation as a Multi-Label Problem for Model-Agnostic Knowledge Integration

    Proc. of the 16th Conference of the European Chapter of the Association for Computational Linguistics

    EACL 2021

    BibTex

    @inproceedings{conia-navigli-2021-multilabel-wsd,
        title = "Framing Word Sense Disambiguation as a Multi-Label Problem for Model-Agnostic Knowledge Integration",
        author = "Conia, Simone  and
          Navigli, Roberto",
        booktitle = "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume",
        month = apr,
        year = "2021",
        address = "Online",
        publisher = "Association for Computational Linguistics",
        url = "https://www.aclweb.org/anthology/2021.eacl-main.286",
        pages = "3269--3275",
    }
                    
  • EACL 2021

    P. Huguet Cabot, D. Abadi, A. Fischer, E. Shutova

    Us vs. Them: A Dataset of Populist Attitudes, News Bias and Emotions

    Proc. of the 16th Conference of the European Chapter of the Association for Computational Linguistics

    EACL 2021

    BibTex

    @inproceedings{huguet-cabot-etal-2021-us,
        title = "Us vs. Them: A Dataset of Populist Attitudes, News Bias and Emotions",
        author = "Huguet Cabot, Pere-Llu{\'\i}s  and
          Abadi, David  and
          Fischer, Agneta  and
          Shutova, Ekaterina",
        booktitle = "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume",
        month = apr,
        year = "2021",
        address = "Online",
        publisher = "Association for Computational Linguistics",
        url = "https://www.aclweb.org/anthology/2021.eacl-main.165",
        pages = "1921--1945",
    }
                    
  • EMNLP 2021

    A. El Sheikh, M. Bevilacqua, R. Navigli

    Integrating Personalized PageRank into Neural Word Sense Disambiguation

    Proceedings of 2021 Conference on Empirical Methods in Natural Language Processing

    EMNLP 2021

    BibTex

    @inproceedings{el-sheikh-etal-2021-integrating,
        title = "Integrating Personalized {P}age{R}ank into Neural Word Sense Disambiguation",
        author = "El Sheikh, Ahmed  and
          Bevilacqua, Michele  and
          Navigli, Roberto",
        booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing",
        month = nov,
        year = "2021",
        address = "Online and Punta Cana, Dominican Republic",
        publisher = "Association for Computational Linguistics",
        url = "https://aclanthology.org/2021.emnlp-main.715",
        pages = "9092--9098",
    }
                    
  • EMNLP 2021

    C. Lacerra, R. Tripodi, R. Navigli

    GeneSis: A Generative Approach to Substitutes in Context

    Proceedings of 2021 Conference on Empirical Methods in Natural Language Processing

    EMNLP 2021

    BibTex

    @inproceedings{lacerra-etal-2021-genesis,
        title = "{G}ene{S}is: {A} {G}enerative {A}pproach to {S}ubstitutes in {C}ontext",
        author = "Lacerra, Caterina  and
          Tripodi, Rocco  and
          Navigli, Roberto",
        booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing",
        month = nov,
        year = "2021",
        address = "Online and Punta Cana, Dominican Republic",
        publisher = "Association for Computational Linguistics",
        url = "https://aclanthology.org/2021.emnlp-main.844",
        pages = "10810--10823",
    }
                    
  • EMNLP 2021

    R. Blloshmi, T. Pasini, N. Campolungo, S. Banerjee, R. Navigli, G. Pasi

    IR like a SIR: Sense-enhanced Information Retrieval for Multiple Languages

    Proceedings of 2021 Conference on Empirical Methods in Natural Language Processing

    EMNLP 2021

    BibTex

    @inproceedings{blloshmi-etal-2021-ir,
        title = "{IR} like a {SIR}: {S}ense-enhanced {I}nformation {R}etrieval for {M}ultiple {L}anguages",
        author = "Blloshmi, Rexhina  and
          Pasini, Tommaso  and
          Campolungo, Niccol{\`o}  and
          Banerjee, Somnath  and
          Navigli, Roberto  and
          Pasi, Gabriella",
        booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing",
        month = nov,
        year = "2021",
        address = "Online and Punta Cana, Dominican Republic",
        publisher = "Association for Computational Linguistics",
        url = "https://aclanthology.org/2021.emnlp-main.79",
        pages = "1030--1041",
    }
                    
  • EMNLP 2021

    E. Barba, L. Procopio, R. Navigli

    ConSeC: Word Sense Disambiguation as Continuous Sense Comprehension

    Proceedings of 2021 Conference on Empirical Methods in Natural Language Processing

    EMNLP 2021

    BibTex

    @inproceedings{barba-etal-2021-consec,
        title = "{C}on{S}e{C}: Word Sense Disambiguation as Continuous Sense Comprehension",
        author = "Barba, Edoardo  and
          Procopio, Luigi  and
          Navigli, Roberto",
        booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing",
        month = nov,
        year = "2021",
        address = "Online and Punta Cana, Dominican Republic",
        publisher = "Association for Computational Linguistics",
        url = "https://aclanthology.org/2021.emnlp-main.112",
        pages = "1492--1503",
    }
                    
  • EMNLP 2021

    R. Tripodi, S. Conia, R. Navigli

    UniteD-SRL: A Unified Dataset for Span- and Dependency-Based Multilingual and Cross-Lingual Semantic Role Labeling

    Findings of the Association for Computational Linguistics: EMNLP 2021

    EMNLP 2021

    BibTex

    @inproceedings{tripodi-etal-2021-united-srl,
        title = "{UniteD-SRL}: {A} Unified Dataset for Span- and Dependency-Based Multilingual and Cross-Lingual {S}emantic {R}ole {L}abeling",
        author = "Tripodi, Rocco  and
          Conia, Simone  and
          Navigli, Roberto",
        booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2021",
        month = nov,
        year = "2021",
        address = "Punta Cana, Dominican Republic",
        publisher = "Association for Computational Linguistics",
        url = "https://aclanthology.org/2021.findings-emnlp.197",
        pages = "2293--2305"
    }
                    
  • EMNLP 2021

    P. Huguet Cabot, R. Navigli

    REBEL: Relation Extraction By End-to-end Language generation

    Findings of the Association for Computational Linguistics: EMNLP 2021

    EMNLP 2021

    BibTex

    @inproceedings{huguet-cabot-navigli-2021-rebel-relation,
        title = "{REBEL}: Relation Extraction By End-to-end Language generation",
        author = "Huguet Cabot, Pere-Llu{\'\i}s  and
          Navigli, Roberto",
        booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2021",
        month = nov,
        year = "2021",
        address = "Punta Cana, Dominican Republic",
        publisher = "Association for Computational Linguistics",
        url = "https://aclanthology.org/2021.findings-emnlp.204",
        pages = "2370--2381",
    }
                    
  • EMNLP 2021

    S. Tedeschi, V. Maiorca, N. Campolungo, F. Cecconi, R. Navigli

    WikiNEuRal: Combined Neural and Knowledge-based Silver Data Creation for Multilingual NER

    Findings of the Association for Computational Linguistics: EMNLP 2021

    EMNLP 2021

    BibTex

    @inproceedings{tedeschi-etal-2021-wikineural-combined,
        title = "{W}iki{NE}u{R}al: {C}ombined Neural and Knowledge-based Silver Data Creation for Multilingual {NER}",
        author = "Tedeschi, Simone  and
          Maiorca, Valentino  and
          Campolungo, Niccol{\`o}  and
          Cecconi, Francesco  and
          Navigli, Roberto",
        booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2021",
        month = nov,
        year = "2021",
        address = "Punta Cana, Dominican Republic",
        publisher = "Association for Computational Linguistics",
        url = "https://aclanthology.org/2021.findings-emnlp.215",
        pages = "2521--2533",
    }
                    
  • EMNLP 2021

    S. Tedeschi, S. Conia, F. Cecconi, R. Navigli

    Named Entity Recognition for Entity Linking: What Works and What's Next

    Findings of the Association for Computational Linguistics: EMNLP 2021

    EMNLP 2021

    BibTex

    @inproceedings{tedeschi-etal-2021-named-entity,
        title = "{N}amed {E}ntity {R}ecognition for {E}ntity {L}inking: {W}hat Works and What{'}s Next",
        author = "Tedeschi, Simone  and
          Conia, Simone  and
          Cecconi, Francesco  and
          Navigli, Roberto",
        booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2021",
        month = nov,
        year = "2021",
        address = "Punta Cana, Dominican Republic",
        publisher = "Association for Computational Linguistics",
        url = "https://aclanthology.org/2021.findings-emnlp.220",
        pages = "2584--2596",
    }
                    
  • EMNLP 2021

    R. Blloshmi, M. Bevilacqua, E. Fabiano, V. Caruso, R. Navigli

    SPRING Goes Online: End-to-End AMR Parsing and Generation

    Proceedings of 2021 Conference on Empirical Methods in Natural Language Processing

    EMNLP 2021

    BibTex

    @inproceedings{blloshmi-etal-2021-spring,
        title = "{SPRING} {G}oes {O}nline: {E}nd-to-{E}nd {AMR} {P}arsing and {G}eneration",
        author = "Blloshmi, Rexhina  and
          Bevilacqua, Michele  and
          Fabiano, Edoardo  and
          Caruso, Valentina  and
          Navigli, Roberto",
        booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
        month = nov,
        year = "2021",
        address = "Online and Punta Cana, Dominican Republic",
        publisher = "Association for Computational Linguistics",
        url = "https://aclanthology.org/2021.emnlp-demo.16",
        pages = "134--142",
    }
                    
  • EMNLP 2021

    R. Orlando, S. Conia, F. Brignone, F. Cecconi, R. Navigli

    AMuSE-WSD: An All-in-one Multilingual System for Easy Word Sense Disambiguation

    Proceedings of 2021 Conference on Empirical Methods in Natural Language Processing

    EMNLP 2021

    BibTex

    @inproceedings{orlando-etal-2021-amuse,
        title = "{AMuSE-WSD}: {A}n All-in-one Multilingual System for Easy {W}ord {S}ense {D}isambiguation",
        author = "Orlando, Riccardo  and
          Conia, Simone  and
          Brignone, Fabrizio  and
          Cecconi, Francesco  and
          Navigli, Roberto",
        booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
        month = nov,
        year = "2021",
        address = "Online and Punta Cana, Dominican Republic",
        publisher = "Association for Computational Linguistics",
        url = "https://aclanthology.org/2021.emnlp-demo.34",
        pages = "298--307",
    }
                    
  • EMNLP 2021

    S. Conia, R. Orlando, F. Brignone, F. Cecconi, R. Navigli

    InVeRo-XL: Making Cross-Lingual Semantic Role Labeling Accessible with Intelligible Verbs and Roles

    Proceedings of 2021 Conference on Empirical Methods in Natural Language Processing

    EMNLP 2021

    BibTex

    @inproceedings{conia-etal-2021-invero,
        title = "{InVeRo-XL}: {M}aking Cross-Lingual {S}emantic {R}ole {L}abeling Accessible with Intelligible Verbs and Roles",
        author = "Conia, Simone  and
          Orlando, Riccardo  and
          Brignone, Fabrizio  and
          Cecconi, Francesco  and
          Navigli, Roberto",
        booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
        month = nov,
        year = "2021",
        address = "Online and Punta Cana, Dominican Republic",
        publisher = "Association for Computational Linguistics",
        url = "https://aclanthology.org/2021.emnlp-demo.36",
        pages = "319--328",
    }
                    
  • IJCAI 2021

    E. Barba, L. Procopio, C. Lacerra, T. Pasini, R. Navigli

    Exemplification Modeling: Can You Give Me an Example, Please?

    Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence

    IJCAI 2021

    BibTex

    @inproceedings{barba-etal-2021-exmod,
      title     = {Exemplification Modeling: Can You Give Me an Example, Please?},
      author    = {Barba, Edoardo and Procopio, Luigi and Lacerra, Caterina and Pasini, Tommaso and Navigli, Roberto},
      booktitle = {Proceedings of the Thirtieth International Joint Conference on
                   Artificial Intelligence, {IJCAI-21}},
      publisher = {International Joint Conferences on Artificial Intelligence Organization},
      editor    = {Zhi-Hua Zhou},
      pages     = {3779--3785},
      year      = {2021},
      month     = {8},
      note      = {Main Track},
      doi       = {10.24963/ijcai.2021/520},
      url       = {https://doi.org/10.24963/ijcai.2021/520},
    }
                    
  • IJCAI 2021

    R. Blloshmi, S. Conia, R. Tripodi, R. Navigli

    Generating Senses and RoLes: An End-to-End Model for Dependency- and Span-based Semantic Role Labeling

    Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence

    IJCAI 2021

    BibTex

    @inproceedings{blloshmi-etal-2021-gsrl,
      title     = {{G}enerating {S}enses and {R}o{L}es: An End-to-End Model for Dependency- and Span-based {S}emantic {R}ole {L}abeling},
      author    = {Blloshmi, Rexhina and Conia, Simone and Tripodi, Rocco and Navigli, Roberto},
      booktitle = {Proceedings of the Thirtieth International Joint Conference on
                   Artificial Intelligence, {IJCAI-21}},
      publisher = {International Joint Conferences on Artificial Intelligence Organization},
      editor    = {Zhi-Hua Zhou},
      pages     = {3786--3793},
      year      = {2021},
      month     = {8},
      note      = {Main Track},
      doi       = {10.24963/ijcai.2021/521},
      url       = {https://doi.org/10.24963/ijcai.2021/521},
    }
                    
  • IJCAI 2021

    C. Lacerra, T. Pasini, R. Tripodi, R. Navigli

    ALaSca: an Automated approach for Large-Scale Lexical Substitution

    Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence

    IJCAI 2021

    BibTex

    @inproceedings{lacerra-etal-2021-alasca,
      title     = {{ALaSca}: an Automated approach for Large-Scale Lexical Substitution},
      author    = {Lacerra, Caterina and Pasini, Tommaso and Tripodi, Rocco and Navigli, Roberto},
      booktitle = {Proceedings of the Thirtieth International Joint Conference on
                   Artificial Intelligence, {IJCAI-21}},
      publisher = {International Joint Conferences on Artificial Intelligence Organization},
      editor    = {Zhi-Hua Zhou},
      pages     = {3836--3842},
      year      = {2021},
      month     = {8},
      note      = {Main Track}
      doi       = {10.24963/ijcai.2021/528},
      url       = {https://doi.org/10.24963/ijcai.2021/528},
    }
                    
  • IJCAI 2021

    L. Procopio, E. Barba, F. Martelli, R. Navigli

    MultiMirror: Neural Cross-lingual Word Alignment for Multilingual Word Sense Disambiguation

    Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence

    IJCAI 2021

    BibTex

    @inproceedings{procopio-etal-2021-multimirror,
      title     = {{MultiMirror}: Neural Cross-lingual Word Alignment for Multilingual {W}ord {S}ense {D}isambiguation},
      author    = {Procopio, Luigi and Barba, Edoardo and Martelli, Federico and Navigli, Roberto},
      booktitle = {Proceedings of the Thirtieth International Joint Conference on
                   Artificial Intelligence, {IJCAI-21}},
      publisher = {International Joint Conferences on Artificial Intelligence Organization},
      editor    = {Zhi-Hua Zhou},
      pages     = {3915--3921},
      year      = {2021},
      month     = {8},
      note      = {Main Track},
      doi       = {10.24963/ijcai.2021/539},
      url       = {https://doi.org/10.24963/ijcai.2021/539},
    }
                    
  • IJCAI 2021

    M. Bevilacqua, T. Pasini, A. Raganato, R. Navigli

    Recent Trends in Word Sense Disambiguation: A Survey

    Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence

    IJCAI 2021

    BibTex

    @inproceedings{bevilacqua-etal-2021-wsd-survey,
      title     = {Recent Trends in {W}ord {S}ense {D}isambiguation: A Survey},
      author    = {Bevilacqua, Michele and Pasini, Tommaso and Raganato, Alessandro and Navigli, Roberto},
      booktitle = {Proceedings of the Thirtieth International Joint Conference on
                   Artificial Intelligence, {IJCAI-21}},
      publisher = {International Joint Conferences on Artificial Intelligence Organization},
      editor    = {Zhi-Hua Zhou},
      pages     = {4330--4338},
      year      = {2021},
      month     = {8},
      note      = {Survey Track},
      doi       = {10.24963/ijcai.2021/593},
      url       = {https://doi.org/10.24963/ijcai.2021/593},
    }
                    
  • IJCAI 2021

    R. Navigli, M. Bevilacqua, S. Conia, D. Montagnini, F. Cecconi

    Ten Years of BabelNet: A Survey

    Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence

    IJCAI 2021

    BibTex

    @inproceedings{navigli-etal-2021-babelnet-survey,
      title     = {Ten Years of {BabelNet}: A Survey},
      author    = {Navigli, Roberto and Bevilacqua, Michele and Conia, Simone and Montagnini, Dario and Cecconi, Francesco},
      booktitle = {Proceedings of the Thirtieth International Joint Conference on
                   Artificial Intelligence, {IJCAI-21}},
      publisher = {International Joint Conferences on Artificial Intelligence Organization},
      editor    = {Zhi-Hua Zhou},
      pages     = {4559--4567},
      year      = {2021},
      month     = {8},
      note      = {Survey Track},
      doi       = {10.24963/ijcai.2021/620},
      url       = {https://doi.org/10.24963/ijcai.2021/620},
    }
                    
  • NAACL 2021

    S. Conia, A. Bacciu, R. Navigli

    Unifying Cross-Lingual Semantic Role Labeling with Heterogeneous Linguistic Resources

    Proc. of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

    NAACL 2021

    BibTex

    @inproceedings{conia-etal-2021-unifying-srl,
        title = "Unifying Cross-Lingual Semantic Role Labeling with Heterogeneous Linguistic Resources",
        author = "Conia, Simone  and
          Bacciu, Andrea  and
          Navigli, Roberto",
        booktitle = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
        month = jun,
        year = "2021",
        address = "Online",
        publisher = "Association for Computational Linguistics",
        url = "https://www.aclweb.org/anthology/2021.naacl-main.31",
        pages = "338--351",
    }
                    
  • NAACL 2021

    L. Procopio, R. Tripodi, R. Navigli

    SGL: Speaking the Graph Languages of Semantic Parsing via Multilingual Translation

    Proc. of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

    NAACL 2021

    BibTex

    @inproceedings{procopio-etal-2021-sgl,
        title = "{SGL}: Speaking the Graph Languages of Semantic Parsing via Multilingual Translation",
        author = "Procopio, Luigi  and
          Tripodi, Rocco  and
          Navigli, Roberto",
        booktitle = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
        month = jun,
        year = "2021",
        address = "Online",
        publisher = "Association for Computational Linguistics",
        url = "https://www.aclweb.org/anthology/2021.naacl-main.30",
        pages = "325--337",
    }
                    
  • NAACL 2021

    E. Barba, T. Pasini, R. Navigli

    ESC: Redesigning WSD with Extractive Sense Comprehension

    Proc. of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

    NAACL 2021

    BibTex

    @inproceedings{barba-etal-2021-esc,
        title = "{ESC}: Redesigning {WSD} with Extractive Sense Comprehension",
        author = "Barba, Edoardo  and
          Pasini, Tommaso  and
          Navigli, Roberto",
        booktitle = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
        month = jun,
        year = "2021",
        address = "Online",
        publisher = "Association for Computational Linguistics",
        url = "https://www.aclweb.org/anthology/2021.naacl-main.371",
        pages = "4661--4672"}
                    
  • SemEval 2021

    F. Martelli, N. Kalach, G. Tola, R. Navigli

    SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation

    Proc. of the 15th International Workshop on Semantic Evaluation

    SemEval 2021

    BibTex

    @inproceedings{martelli-etal-2021-mclwic, title = "{S}em{E}val-2021 {T}ask 2: {M}ultilingual and {C}ross-lingual {W}ord-in-{C}ontext {D}isambiguation ({MCL}-{W}i{C})", author= "Martelli, Federico and Kalach, Najla and Tola, Gabriele and Navigli, Roberto", booktitle="Proceedings of the Fifteenth Workshop on Semantic Evaluation (SemEval-2021)", year={2021} }
                    
  • AAAI 2020

    B. Scarlini, T. Pasini, R. Navigli

    SensEmBERT: Context-Enhanced Sense Embeddings for Multilingual Word Sense Disambiguation

    Proc. of the 34th AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA, 7-12th February, 2020.

    AAAI 2020

    BibTex

    @inproceedings{scarlini2020sensembert,
        title={SENSEMBERT: Context-Enhanced Sense Embeddings for Multilingual Word Sense Disambiguation},
        author={Scarlini, Bianca and Pasini, Tommaso and Navigli, Roberto}
    }
                    
  • AAAI 2020

    C. Lacerra, M. Bevilacqua, T. Pasini, R. Navigli

    CSI: A Coarse Sense Inventory for 85% Word Sense Disambiguation

    Proc. of the 34th AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA, 7-12th February, 2020.

    AAAI 2020

    BibTex

    @inproceedings{lacerra2020csi,
        title = {CSI: A coarse sense inventory for 85\% word sense disambiguation},
        author = {Lacerra, Caterina and Bevilacqua, Michele and Pasini, Tommaso and Navigli, Roberto},
        booktitle = {Proc. of AAAI},
        year = {2020}
    }
                    
  • ACL 2020

    M. Bevilacqua, R. Navigli

    Breaking Through the 80% Glass Ceiling: Raising the State of the Art in Word Sense Disambiguation by Incorporating Knowledge Graph Information

    Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

    ACL 2020

    BibTex

    @inproceedings{bevilacqua-navigli-2020-breaking,
        title = "Breaking Through the 80{\%} Glass Ceiling: {R}aising the State of the Art in Word Sense Disambiguation by Incorporating Knowledge Graph Information",
        author = "Bevilacqua, Michele  and
          Navigli, Roberto",
        booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
        month = jul,
        year = "2020",
        address = "Online",
        publisher = "Association for Computational Linguistics",
        url = "https://www.aclweb.org/anthology/2020.acl-main.255",
        pages = "2854--2864",
        abstract = "Neural architectures are the current state of the art in Word Sense Disambiguation (WSD). However, they make limited use of the vast amount of relational information encoded in Lexical Knowledge Bases (LKB). We present Enhanced WSD Integrating Synset Embeddings and Relations (EWISER), a neural supervised architecture that is able to tap into this wealth of knowledge by embedding information from the LKB graph within the neural architecture, and to exploit pretrained synset embeddings, enabling the network to predict synsets that are not in the training set. As a result, we set a new state of the art on almost all the evaluation settings considered, also breaking through, for the first time, the 80{\%} ceiling on the concatenation of all the standard all-words English WSD evaluation benchmarks. On multilingual all-words WSD, we report state-of-the-art results by training on nothing but English.",
    }
                    
  • ACL 2020

    A. Calabrese, M. Bevilacqua, R. Navigli

    Fatality Killed the Cat or: BabelPic, a Multimodal Dataset for Non-Concrete Concepts

    Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

    ACL 2020

    BibTex

    @inproceedings{calabrese-etal-2020-fatality,
        title = "Fatality Killed the Cat or: {B}abel{P}ic, a Multimodal Dataset for Non-Concrete Concepts",
        author = "Calabrese, Agostina  and
          Bevilacqua, Michele  and
          Navigli, Roberto",
        booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
        month = jul,
        year = "2020",
        address = "Online",
        publisher = "Association for Computational Linguistics",
        url = "https://www.aclweb.org/anthology/2020.acl-main.425",
        pages = "4680--4686",
        abstract = "Thanks to the wealth of high-quality annotated images available in popular repositories such as ImageNet, multimodal language-vision research is in full bloom. However, events, feelings and many other kinds of concepts which can be visually grounded are not well represented in current datasets. Nevertheless, we would expect a wide-coverage language understanding system to be able to classify images depicting recess and remorse, not just cats, dogs and bridges. We fill this gap by presenting BabelPic, a hand-labeled dataset built by cleaning the image-synset association found within the BabelNet Lexical Knowledge Base (LKB). BabelPic explicitly targets non-concrete concepts, thus providing refreshing new data for the community. We also show that pre-trained language-vision systems can be used to further expand the resource by exploiting natural language knowledge available in the LKB. BabelPic is available for download at http://babelpic.org.",
    }
                    
  • ACL 2020

    T. Pasini, F. Scozzafava, B. Scarlini

    CluBERT: A Cluster-Based Approach for Learning Sense Distributions in Multiple Languages

    Proc. of the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020)

    ACL 2020

    BibTex

    @inproceedings{pasini-etal-2020-clubert,
        title = "{C}lu{BERT}: {A} Cluster-Based Approach for Learning Sense Distributions in Multiple Languages",
        author = "Pasini, Tommaso  and
          Scozzafava, Federico  and
          Scarlini, Bianca",
        booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
        month = jul,
        year = "2020",
        address = "Online",
        publisher = "Association for Computational Linguistics",
        url = "https://www.aclweb.org/anthology/2020.acl-main.369",
        doi = "10.18653/v1/2020.acl-main.369",
        pages = "4008--4018"
    }
                    
  • ACL 2020

    F. Scozzafava, M. Maru, F. Brignone, G. Torrisi, R. Navigli

    Personalized PageRank with Syntagmatic Information for Multilingual Word Sense Disambiguation

    Proc. of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations (ACL 2020)

    ACL 2020

    BibTex

    @inproceedings{scozzafava-etal-2020-personalized,
        title = "Personalized {P}age{R}ank with Syntagmatic Information for Multilingual Word Sense Disambiguation",
        author = "Scozzafava, Federico  and
          Maru, Marco  and
          Brignone, Fabrizio  and
          Torrisi, Giovanni  and
          Navigli, Roberto",
        booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations",
        month = jul,
        year = "2020",
        address = "Online",
        publisher = "Association for Computational Linguistics",
        url = "https://www.aclweb.org/anthology/2020.acl-demos.6",
        doi = "10.18653/v1/2020.acl-demos.6",
        pages = "37--46"
    }
                    
  • AI 2020

    T. Pasini, R. Navigli

    Train-O-Matic: Supervised Word Sense Disambiguation with no (manual) effort

    Artificial Intelligence, 279, Elsevier, 2020.

    AI 2020

    BibTex

    @article{PASINI2020103215,
        title = "Train-O-Matic: Supervised Word Sense Disambiguation with no (manual) effort",
        journal = "Artificial Intelligence",
        volume = "279",
        pages = "103215",
        year = "2020",
        issn = "0004-3702",
        doi = "https://doi.org/10.1016/j.artint.2019.103215",
        url = "http://www.sciencedirect.com/science/article/pii/S0004370218307021",
        author = "Tommaso Pasini and Roberto Navigli",
        keywords = "Word Sense Disambiguation, Corpus Generation, Word Sense Distribution learning, Multilinguality",
        abstract = "Word Sense Disambiguation (WSD) is the task of associating the correct meaning with a word in a given context. WSD provides explicit semantic information that is beneficial to several downstream applications, such as question answering, semantic parsing and hypernym extraction. Unfortunately, WSD suffers from the well-known knowledge acquisition bottleneck problem: it is very expensive, in terms of both time and money, to acquire semantic annotations for a large number of sentences. To address this blocking issue we present Train-O-Matic, a knowledge-based and language-independent approach that is able to provide millions of training instances annotated automatically with word meanings. The approach is fully automatic, i.e., no human intervention is required, and the only type of human knowledge used is a task-independent WordNet-like resource. Moreover, as the sense distribution in the training set is pivotal to boosting the performance of WSD systems, we also present two unsupervised and language-independent methods that automatically induce a sense distribution when given a simple corpus of sentences. We show that, when the learned distributions are taken into account for generating the training sets, the performance of supervised methods is further enhanced. Experiments have proven that Train-O-Matic on its own, and also coupled with word sense distribution learning methods, lead a supervised system to achieve state-of-the-art performance consistently across gold standard datasets and languages. Importantly, we show how our sense distribution learning techniques aid Train-O-Matic to scale well over domains, without any extra human effort. To encourage future research, we release all the training sets in 5 different languages and the sense distributions for each domain of SemEval-13 and SemEval-15 at http://trainomatic.org."
    }
                    
  • COLING 2020

    S. Conia, R. Navigli

    Conception: Multilingually-Enhanced, Human-Readable Concept Vector Representations

    Proc. of the 28th International Conference on Computational Linguistics (COLING 2020)

    COLING 2020

    BibTex

    @inproceedings{conia-navigli-2020-conception,
        title = "Conception: Multilingually-Enhanced, Human-Readable Concept Vector Representations",
        author = "Conia, Simone  and
          Navigli, Roberto",
        booktitle = "Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020)",
        month = dec,
        year = "2020",
        address = "Barcelona, Spain (Online)",
        publisher = "International Committee on Computational Linguistics",
        url = "https://www.aclweb.org/anthology/2020.coling-main.291",
        pages = "3268--3284"
    }
                    
  • COLING 2020

    S. Conia, R. Navigli

    Bridging the Gap in Multilingual Semantic Role Labeling: a Language-Agnostic Approach

    Proc. of the 28th International Conference on Computational Linguistics (COLING 2020)

    COLING 2020

    BibTex

    @inproceedings{conia-navigli-2020-bridging,
        title = "Bridging the Gap in Multilingual Semantic Role Labeling: a Language-Agnostic Approach",
        author = "Conia, Simone  and
          Navigli, Roberto",
        booktitle = "Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020)",
        month = dec,
        year = "2020",
        address = "Barcelona, Spain (Online)",
        publisher = "International Committee on Computational Linguistics",
        url = "https://www.aclweb.org/anthology/2020.coling-main.120",
        pages = "1396--1410"
    }
                    
  • EMNLP 2020

    B. Scarlini, T. Pasini, R. Navigli

    With More Contexts Comes Better Performance: Contextualized Sense Embeddings for All-Round Word Sense Disambiguation

    Proc. of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), online, 16-20th November, 2020.

    EMNLP 2020

    BibTex

    @inproceedings{scarlini-etal-2020-ares,
    	  title={{With More Contexts Comes Better Performance: Contextualized Sense Embeddings for All-Round Word Sense Disambiguation}},
    	  author={Scarlini, Bianca and Pasini, Tommaso and Navigli, Roberto},
    	  booktitle={Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing},
    	  publisher={Association for Computational Linguistics},
    	  year={2020}
    	}
                    
  • EMNLP 2020

    M. Bevilacqua, M. Maru, R. Navigli

    Generationary or: “How We Went beyond Word Sense Inventories and Learned to Gloss”

    Proc. of the 2020 Conference on Empirical Methods in Natural Language Processing(EMNLP 2020), online, 16-20th November, 2020.

    EMNLP 2020

    BibTex

    @inproceedings{bevilacqua-etal-2020-generationary,
        title = "Generationary or: {``}How We Went beyond Word Sense Inventories and Learned to Gloss{''}",
        author = "Bevilacqua, Michele  and
          Maru, Marco  and
          Navigli, Roberto",
        booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)",
        month = nov,
        year = "2020",
        address = "Online",
        publisher = "Association for Computational Linguistics",
        url = "https://www.aclweb.org/anthology/2020.emnlp-main.585",
        pages = "7207--7221",
    }
                    
  • EMNLP 2020

    R. Blloshmi, R. Tripodi, R. Navigli

    XL-AMR: Enabling Cross-Lingual AMR Parsing with Transfer Learning Techniques

    Proc. of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), online, 16-20th November, 2020.

    EMNLP 2020

    BibTex

    @inproceedings{blloshmi-etal-2020-xl,
        title = "{XL}-{AMR}: Enabling Cross-Lingual {AMR} Parsing with Transfer Learning Techniques",
        author = "Blloshmi, Rexhina  and
          Tripodi, Rocco  and
          Navigli, Roberto",
        booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)",
        month = nov,
        year = "2020",
        address = "Online",
        publisher = "Association for Computational Linguistics",
        url = "https://www.aclweb.org/anthology/2020.emnlp-main.195",
        doi = "10.18653/v1/2020.emnlp-main.195",
        pages = "2487--2500"
    }
                    
  • EMNLP 2020

    A. Raganato, T. Pasini, J. Camacho-Collados, M. T. Pilehvar

    XL-WiC: A Multilingual Benchmark for Evaluating Semantic Contextualization

    Proc. of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), online, 16-20th November, 2020.

    EMNLP 2020

    BibTex

    @inproceedings{raganato-etal-2020-xl,
        title = "{XL}-{W}i{C}: A Multilingual Benchmark for Evaluating Semantic Contextualization",
        author = "Raganato, Alessandro  and
          Pasini, Tommaso  and
          Camacho-Collados, Jose  and
          Pilehvar, Mohammad Taher",
        booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)",
        month = nov,
        year = "2020",
        address = "Online",
        publisher = "Association for Computational Linguistics",
        url = "https://www.aclweb.org/anthology/2020.emnlp-main.584",
        doi = "10.18653/v1/2020.emnlp-main.584",
        pages = "7193--7206"
    }
                    
  • EMNLP 2020

    S. Conia, F. Brignone, D. Zanfardino, R. Navigli

    InVeRo: Making Semantic Role Labeling Accessible with Intelligible Verbs and Roles

    Proc. of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP 2020), online, 16-20th November, 2020.

    EMNLP 2020

    BibTex

    @inproceedings{conia-etal-2020-invero,
        title = "{I}n{V}e{R}o: Making {S}emantic {R}ole {L}abeling Accessible with Intelligible Verbs and Roles",
        author = "Conia, Simone  and
          Brignone, Fabrizio  and
          Zanfardino, Davide  and
          Navigli, Roberto",
        booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP 2020)",
        month = oct,
        year = "2020",
        address = "Online",
        publisher = "Association for Computational Linguistics",
        url = "https://www.aclweb.org/anthology/2020.emnlp-demos.11",
        doi = "10.18653/v1/2020.emnlp-demos.11",
        pages = "77--84"
    }
                    
  • IJCAI 2020

    T. Pasini

    The Knowledge Acquisition Bottleneck Problem in Multilingual Word Sense Disambiguation

    Proc. of the 29th International Joint Conference on Artificial Intelligence (IJCAI-20)

    IJCAI 2020

    BibTex

    @inproceedings{ijcai2020-687,
      title     = {The Knowledge Acquisition Bottleneck Problem in Multilingual {W}ord {S}ense {D}isambiguation},
      author    = {Pasini, Tommaso},
      booktitle = {Proceedings of the Twenty-Ninth International Joint Conference on
                   Artificial Intelligence, {IJCAI-20}},
      publisher = {International Joint Conferences on Artificial Intelligence Organization},             
      editor    = {Christian Bessiere},	
      pages     = {4936--4942},
      year      = {2020},
      month     = {7},
      note      = {Survey track}
      doi       = {10.24963/ijcai.2020/687},
      url       = {https://doi.org/10.24963/ijcai.2020/687},
    }
                    
  • IJCAI 2020

    E. Barba, L. Procopio, N. Campolungo, T. Pasini, R. Navigli

    MuLaN: Multilingual Label propagatioN for Word Sense Disambiguation

    Proc. of the 29th International Joint Conference on Artificial Intelligence (IJCAI-20)

    IJCAI 2020

    BibTex

    @inproceedings{ijcai2020-0531,
      title     = {{MuLaN}: {Mu}ltilingual {L}abel propagatio{N} for {W}ord {S}ense {D}isambiguation},
      author    = {Barba, Edoardo and Procopio, Luigi and Campolungo, Niccolò and Pasini, Tommaso and Navigli, Roberto},
      booktitle = {Proceedings of the Twenty-Ninth International Joint Conference on
                   Artificial Intelligence, {IJCAI-20}},
      publisher = {International Joint Conferences on Artificial Intelligence Organization},             
      editor    = {Christian Bessiere},	
      pages     = {3837--3844},
      year      = {2020},
      month     = {7},
      note      = {Main track}
      doi       = {10.24963/ijcai.2020/531},
      url       = {https://doi.org/10.24963/ijcai.2020/531},
    }
                    
  • IJCAI 2020

    A. Calabrese, M. Bevilacqua, R. Navigli

    EViLBERT: Learning Task-Agnostic Multimodal Sense Embeddings

    Proc. of the 29th International Joint Conference on Artificial Intelligence (IJCAI-20)

    IJCAI 2020

    BibTex

    @inproceedings{ijcai2020-67,
      title     = {{EViLBERT}: {L}earning Task-Agnostic Multimodal Sense Embeddings},
      author    = {Calabrese, Agostina and Bevilacqua, Michele and Navigli, Roberto},
      booktitle = {Proceedings of the Twenty-Ninth International Joint Conference on
                   Artificial Intelligence, {IJCAI-20}},
      publisher = {International Joint Conferences on Artificial Intelligence Organization},             
      editor    = {Christian Bessiere},	
      pages     = {481--487},
      year      = {2020},
      month     = {7},
      note      = {Main track}
      doi       = {10.24963/ijcai.2020/67},
      url       = {https://doi.org/10.24963/ijcai.2020/67},
    }
                    
  • ACL 2019

    B. Scarlini, T. Pasini, R. Navigli

    Just "OneSeC" for Producing Multilingual Sense-Annotated Data

    Proc. of 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), Florence, Italy, July 28th-August 2nd, 2019, pp. 699-709.

    ACL 2019

    BibTex

    @inproceedings{scarlini-etal-2019-just,
        title = "Just {``}{O}ne{S}e{C}{''} for Producing Multilingual Sense-Annotated Data",
        author = "Scarlini, Bianca  and
          Pasini, Tommaso  and
          Navigli, Roberto",
        booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics",
        month = jul,
        year = "2019",
        address = "Florence, Italy",
        publisher = "Association for Computational Linguistics",
        url = "https://www.aclweb.org/anthology/P19-1069",
        doi = "10.18653/v1/P19-1069",
        pages = "699--709",
        abstract = "The well-known problem of knowledge acquisition is one of the biggest issues in Word Sense Disambiguation (WSD), where annotated data are still scarce in English and almost absent in other languages. In this paper we formulate the assumption of One Sense per Wikipedia Category and present OneSeC, a language-independent method for the automatic extraction of hundreds of thousands of sentences in which a target word is tagged with its meaning. Our automatically-generated data consistently lead a supervised WSD model to state-of-the-art performance when compared with other automatic and semi-automatic methods. Moreover, our approach outperforms its competitors on multilingual and domain-specific settings, where it beats the existing state of the art on all languages and most domains. All the training data are available for research purposes at http://trainomatic.org/onesec.",
    }
                    
  • ACL 2019

    I. Iacobacci, R. Navigli

    LSTMEmbed: Learning Word and Sense Representations from a Large Semantically Annotated Corpus with Long Short-Term Memories

    Proceedings of 57th Annual Meeting of the Association for Computational Linguistics

    ACL 2019

    BibTex

    @inproceedings{iacobacci2019lstmembed,
      title={Lstmembed: Learning word and sense representations from a large semantically annotated corpus with long short-term memories},
      author={Iacobacci, Ignacio and Navigli, Roberto},
      booktitle={Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
      pages={1685--1695},
      year={2019}
    }
                    
  • EMNLP 2019

    R. Tripodi, R. Navigli

    Game Theory Meets Embeddings: a Unified Framework for Word Sense Disambiguation

    Proc. of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP 2019), Hong Kong, China, 3-7th November, 2019.

    EMNLP 2019

    BibTex

    @inproceedings{tripodi-navigli-2019-game,
        title = "Game Theory Meets Embeddings: a Unified Framework for Word Sense Disambiguation",
        author = "Tripodi, Rocco  and
          Navigli, Roberto",
        booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)",
        month = nov,
        year = "2019",
        address = "Hong Kong, China",
        publisher = "Association for Computational Linguistics",
        url = "https://www.aclweb.org/anthology/D19-1009",
        doi = "10.18653/v1/D19-1009",
        pages = "88--99",
        abstract = "Game-theoretic models, thanks to their intrinsic ability to exploit contextual information, have shown to be particularly suited for the Word Sense Disambiguation task. They represent ambiguous words as the players of a non cooperative game and their senses as the strategies that the players can select in order to play the games. The interaction among the players is modeled with a weighted graph and the payoff as an embedding similarity function, that the players try to maximize. The impact of the word and sense embedding representations in the framework has been tested and analyzed extensively: experiments on standard benchmarks show state-of-art performances and different tests hint at the usefulness of using disambiguation to obtain contextualized word representations.",
    }
                    
  • EMNLP 2019

    A. Di Fabio, S. Conia, R. Navigli

    VerbAtlas: a Novel Large-Scale Verbal Semantic Resource and Its Application to Semantic Role Labeling

    Proc. of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP 2019), Hong Kong, China, 3-7th November, 2019.

    EMNLP 2019

    BibTex

    @inproceedings{di-fabio-etal-2019-verbatlas,
        title = "{V}erb{A}tlas: a Novel Large-Scale Verbal Semantic Resource and Its Application to Semantic Role Labeling",
        author = "Di Fabio, Andrea  and
          Conia, Simone  and
          Navigli, Roberto",
        booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)",
        month = nov,
        year = "2019",
        address = "Hong Kong, China",
        publisher = "Association for Computational Linguistics",
        url = "https://www.aclweb.org/anthology/D19-1058",
        doi = "10.18653/v1/D19-1058",
        pages = "627--637",
        abstract = "We present VerbAtlas, a new, hand-crafted lexical-semantic resource whose goal is to bring together all verbal synsets from WordNet into semantically-coherent frames. The frames define a common, prototypical argument structure while at the same time providing new concept-specific information. In contrast to PropBank, which defines enumerative semantic roles, VerbAtlas comes with an explicit, cross-frame set of semantic roles linked to selectional preferences expressed in terms of WordNet synsets, and is the first resource enriched with semantic information about implicit, shadow, and default arguments. We demonstrate the effectiveness of VerbAtlas in the task of dependency-based Semantic Role Labeling and show how its integration into a high-performance system leads to improvements on both the in-domain and out-of-domain test sets of CoNLL-2009. VerbAtlas is available at http://verbatlas.org.",
    }
                    
  • EMNLP 2019

    M. Maru, F. Scozzafava, F. Martelli, R. Navigli

    SyntagNet: Challenging Supervised Word Sense Disambiguation with Lexical-Semantic Combinations

    Proc. of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP 2019), Hong Kong, China, 3-7th November, 2019, pp. 3525-3531.

    EMNLP 2019

    BibTex

    @inproceedings{maru-etal-2019-syntagnet,
        title = "{S}yntag{N}et: Challenging Supervised Word Sense Disambiguation with Lexical-Semantic Combinations",
        author = "Maru, Marco  and
          Scozzafava, Federico  and
          Martelli, Federico  and
          Navigli, Roberto",
        booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)",
        month = nov,
        year = "2019",
        address = "Hong Kong, China",
        publisher = "Association for Computational Linguistics",
        url = "https://www.aclweb.org/anthology/D19-1359",
        doi = "10.18653/v1/D19-1359",
        pages = "3534--3540",
        abstract = "Current research in knowledge-based Word Sense Disambiguation (WSD) indicates that performances depend heavily on the Lexical Knowledge Base (LKB) employed. This paper introduces SyntagNet, a novel resource consisting of manually disambiguated lexical-semantic combinations. By capturing sense distinctions evoked by syntagmatic relations, SyntagNet enables knowledge-based WSD systems to establish a new state of the art which challenges the hitherto unrivaled performances attained by supervised approaches. To the best of our knowledge, SyntagNet is the first large-scale manually-curated resource of this kind made available to the community (at http://syntagnet.org).",
    }
                    
  • KBS 2019

    R. Sinoara, J. Camacho-Collados, R. Rossi, R. Navigli, S. Rezende

    Knowledge-enhanced document embeddings for text classification

    Knowledge-Based Systems, 163, Elsevier, 2019, pp. 955-971.

    KBS 2019

    BibTex

    @article{sinoara2019knowledge,
      title={Knowledge-enhanced document embeddings for text classification},
      author={Sinoara, Roberta A and Camacho-Collados, Jose and Rossi, Rafael G and Navigli, Roberto and Rezende, Solange O},
      journal={Knowledge-Based Systems},
      volume={163},
      pages={955--971},
      year={2019},
      publisher={Elsevier}
    }
                    
  • LREC 2019

    J. Camacho-Collados, C. Delli Bovi, A. Raganato, R. Navigli

    SenseDefs: a multilingual corpus of semantically annotated textual definitions - Exploiting multiple languages and resources jointly for high-quality Word Sense Disambiguation and Entity Linking

    Language Resources and Evaluation

    LREC 2019

    BibTex

    @article{camacho2019s,
      title={S ense D efs: a multilingual corpus of semantically annotated textual definitions},
      author={Camacho-Collados, Jose and Bovi, Claudio Delli and Raganato, Alessandro and Navigli, Roberto},
      journal={Language Resources and Evaluation},
      volume={53},
      number={2},
      pages={251--278},
      year={2019},
      publisher={Springer}
    }
                    
  • NLE 2019

    R. Navigli, F. Martelli

    An overview of word and sense similarity

    Natural Language Engineering

    NLE 2019

    BibTex

    @article{navigli2019overview,
      title={An overview of word and sense similarity},
      author={Navigli, Roberto and Martelli, Federico},
      journal={Natural Language Engineering},
      volume={25},
      number={6},
      pages={693--714},
      year={2019},
      publisher={Cambridge University Press}
    }
                    
  • RANLP 2019

    M. Bevilacqua, R. Navigli

    Quasi Bidirectional Encoder Representations from Transformers for Word Sense Disambiguation

    Proc. of the 2019 conference on Recent Advances in Natural Language Processing (RANLP 2019), Varna, Bulgaria, September 2-4th, 2019, pp. 122-131.

    RANLP 2019

    BibTex

    @inproceedings{bevilacqua-navigli-2019-quasi,
        title = "Quasi Bidirectional Encoder Representations from Transformers for Word Sense Disambiguation",
        author = "Bevilacqua, Michele  and
          Navigli, Roberto",
        booktitle = "Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)",
        month = sep,
        year = "2019",
        address = "Varna, Bulgaria",
        publisher = "INCOMA Ltd.",
        url = "https://www.aclweb.org/anthology/R19-1015",
        doi = "10.26615/978-954-452-056-4_015",
        pages = "122--131",
        abstract = "While contextualized embeddings have produced performance breakthroughs in many Natural Language Processing (NLP) tasks, Word Sense Disambiguation (WSD) has not benefited from them yet. In this paper, we introduce QBERT, a Transformer-based architecture for contextualized embeddings which makes use of a co-attentive layer to produce more deeply bidirectional representations, better-fitting for the WSD task. As a result, we are able to train a WSD system that beats the state of the art on the concatenation of all evaluation datasets by over 3 points, also outperforming a comparable model using ELMo.",
    }
                    
  • AAAI 2018

    T. Pasini, R. Navigli

    Two Knowledge-based Methods for High-Performance Sense Distribution Learning

    Proceedings of the 2018 Conference of the Association for the Advancement of Artificial Intelligence

    AAAI 2018

    BibTex

    @InProceedings{PasiniNavigli:2018,
      author = {Pasini, Tommaso and Navigli, Roberto},
      title = {Two Knowledge-based Methods for High-Performance Sense Distribution Learning},
      booktitle = {Proc. of the 32th {AAAI} {C}onference on {A}rtificial {I}ntelligence},
      year = {2018},
      address = {New Orleans, {USA}},
    }
                    
  • IJCAI 2018

    R. Navigli

    Natural Language Understanding: Instructions for (Present and Future) Use

    Proc. of the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), Stockholm, Sweden, 13-19 July, 2018, pp. 5697-5702.

    IJCAI 2018

    BibTex

    @inproceedings{navigli2018natural,
      title={Natural Language Understanding: Instructions for (Present and Future) Use.},
      author={Navigli, Roberto},
      booktitle={IJCAI},
      pages={5697--5702},
      year={2018}
    }
                    
  • LREC 2018

    T. Pasini, F. M. Elia, R. Navigli

    Huge Automatically Extracted Training-Sets for Multilingual Word Sense Disambiguation.

    Proceedings of the Language Resources and Evaluation Conference

    LREC 2018

    BibTex

    @inproceedings{pasini-etal-2018-huge,
        title = "Huge Automatically Extracted Training-Sets for Multilingual Word {S}ense{D}isambiguation",
        author = "Pasini, Tommaso  and
          Elia, Francesco  and
          Navigli, Roberto",
        booktitle = "Proceedings of the Eleventh International Conference on Language Resources and Evaluation ({LREC} 2018)",
        month = may,
        year = "2018",
        address = "Miyazaki, Japan",
        publisher = "European Language Resources Association (ELRA)",
        url = "https://www.aclweb.org/anthology/L18-1268",
    }
                    
  • SemEval 2018

    J. Camacho-Collados, C. Delli Bovi, L. Espinosa-Anke, S. Oramas, T. Pasini, E. Santus, V. Shwartz, R. Navigli, H. Saggion

    SemEval-2018 Task 9: Hypernym Discovery

    Proc. of the 12th International Workshop on Semantic Evaluation

    SemEval 2018

    BibTex

    @inproceedings{camacho-collados-etal-2018-semeval,
        title = "{S}em{E}val-2018 Task 9: Hypernym Discovery",
        author = "Camacho-Collados, Jose  and
          Delli Bovi, Claudio  and
          Espinosa-Anke, Luis  and
          Oramas, Sergio  and
          Pasini, Tommaso  and
          Santus, Enrico  and
          Shwartz, Vered  and
          Navigli, Roberto  and
          Saggion, Horacio",
        booktitle = "Proceedings of The 12th International Workshop on Semantic Evaluation",
        month = jun,
        year = "2018",
        address = "New Orleans, Louisiana",
        publisher = "Association for Computational Linguistics",
        url = "https://www.aclweb.org/anthology/S18-1115",
        doi = "10.18653/v1/S18-1115",
        pages = "712--724",
        abstract = "This paper describes the SemEval 2018 Shared Task on Hypernym Discovery. We put forward this task as a complementary benchmark for modeling hypernymy, a problem which has traditionally been cast as a binary classification task, taking a pair of candidate words as input. Instead, our reformulated task is defined as follows: given an input term, retrieve (or discover) its suitable hypernyms from a target corpus. We proposed five different subtasks covering three languages (English, Spanish, and Italian), and two specific domains of knowledge in English (Medical and Music). Participants were allowed to compete in any or all of the subtasks. Overall, a total of 11 teams participated, with a total of 39 different systems submitted through all subtasks. Data, results and further information about the task can be found at \url{https://competitions.codalab.org/competitions/17119}.",
    }
                    
  • WWW 2018

    V. Basile, R. Navigli

    From MultiJEDI to MOUSSE: Two ERC Projects for Innovating Multilingual Disambiguation and Semantic Parsing of Text

    Proceedings of the Web Conference 2018

    WWW 2018

    BibTex

    @inproceedings{BasileNavigli:18,
      title = {From MultiJEDI to MOUSSE: Two ERC Projects for Innovating Multilingual Disambiguation and Semantic Parsing of Text},
      author = {Basile, Valerio and Navigli, Roberto},
      booktitle = {Proc. of The Web Conference 2018},
      address = {Lyon, France},
      year = {2018},
    }