Babelfy is a unified approach to multilingual Word Sense Disambiguation and Entity Linking.
Entity Linking (EL) and Word Sense Disambiguation (WSD) both address the lexical ambiguity of language. But while the two tasks are pretty similar, they differ in a fundamental respect: in EL the textual mention can be linked to a named entity which may or may not contain the exact mention, while in WSD there is a perfect match between the word form (better, its lemma) and a suitable word sense.
We present Babelfy, a unified graph-based approach to EL and WSD based on a loose identification of candidate meanings coupled
with a densest subgraph heuristic which selects high-coherence semantic interpretations.
Structural Semantic Interconnections (SSI) is a knowledge-based algorithm for Word Sense Disambiguation based on Structural Pattern Recognition.
SSI is untrained and has been extensively evaluated in ontology learning, gloss and open text word sense disambiguation.
Given a set of words in context and a lexical knowledge base, obtained by
integrating a number of dictionaries, annotated corpora and collocation
resources, SSI outputs a semantic graph includings the senses chosen and the
semantic interconnections between them.
TermExtractor is a software package for the extraction of relevant terms consensually referred in a specific domain. The application take as input a corpus of domain documents in any format (plain text files, Word documents, pdfs, etc.), parses the documents, and extracts a list of syntactically plausible terms.
Two entropy-based measures, called Domain Relevance and Domain Consensus, are then used to select only those terms which are relevant to the domain of interest or consensually referred throughout the documents. This is achieve with the aid of a set of contrastive corpora from different domains.
Glossextractor is a web tool for the automated acquisition of a glossary for an input terminology. Starting from domain terms, the software extracts relevant glosses from a number of resources (dictionary and glossary definitions, definitions within texts, etc.).
TAV (TAxonomy Validator) is a visual tool for the validation of taxonomies. The tool allows the visualization and browsing of OWL ontologies. Authorized users can perform concept editing (creation, deletion, hypernymy change, addition of conceptual relations, etc.) and ontology download.
Valido is a visual tool for supporting the validator in the difficult task of assessing the quality and suitability of sense annotations.
Given a set of words in context (e.g. a sentence from a corpus), Valido applies the SSI algorithm and shows the validator the resulting semantic interconnections supporting a choice of word senses.