The Sapienza Natural Language Processing Group (Sapienza NLP) is part of the Computer Science Department of the Sapienza University of Rome.

Our group aims at devising and developing innovative approaches to multilingual Natural Language Understanding. We pursue a vision focused on integrating explicit, symbolic knowledge with deep learning.

The group's work is financed by several sources of funding, including ERC grants, other EU and national projects, and the Babelscape Sapienza spin-off.


SapienzaNLP @ NAACL 2021

Sapienza NLP will be at NAACL 2021 with 3 papers on semantics, ranging from Word Sense Disambiguation, cross-lingual Semantic Role Labeling (outstanding paper award!) and multilingual Semantic Parsing! Read more about them in our blog post.

SapienzaNLP @ EACL 2021

Sapienza NLP is at EACL 2021 with 1 short paper +1 long paper! Read more about our latest research on semantics here.

BabelNet 5 is out now!

Celebrate the 10th anniversary of BabelNet with us! New interface, up-to-date content in 500 languages, 20 million synsets, WordNet 2020, and much more! Check out the latest release of BabelNet at!

SapienzaNLP @ AAAI 2021

We are proud to share the latest developments from our lab at AAAI 2021! Read more about our newest papers on Semantic Parsing (Text-to-AMR and AMR-to-Text) and Multilingual WSD!

SapienzaNLP @ IJCAI 2020

Read more about the latest research presented at IJCAI 2020 from our group: from multilingual Word Sense Disambiguation to learning multilmodal (text + image) sense embeddings!

SapienzaNLP @ COLING 2020

The Sapienza NLP group is proud to present 2 papers at COLING 2020: "Bridging the Gap in Multilingual Semantic Role Labeling: a Language-Agnostic Approach" and "Conception: Multilingually-Enhanced, Human-Readable Concept Vector Representations".

SapienzaNLP @ EMNLP 2020

We are proud to announce that SapienzaNLP has 4 + 1 papers accepted at EMNLP 2020: 4 long papers at the main conference and 1 demo paper. Our contributions touch several areas from Word Sense Disambiguation to Semantic Parsing and Semantic Role Labeling.