New out now: SyntagNet – a resource with 88.000 lexical-semantic combinations!

SyntagNet is a manually-curated large-scale lexical-semantic combination database which associates pairs of concepts with pairs of co-occurring words, developed by the Sapienza NLP group and the multilingual Natural Language Processing research team at the Sapienza University of Rome.

The goal of SyntagNet is to capture sense distinctions evoked by syntagmatic relations, hence providing information which complements the essentially paradigmatic knowledge shared by currently available Lexical Knowledge Bases such as WordNet. Its main features are:

  • Wide coverage, with 78,000 noun-verb and noun-noun lexical combinations extracted from the English Wikipedia and the British National Corpus.
  • High-quality, fully manual disambiguation for all of the lexical combinations, according to the WordNet 3.0 sense inventory.
  • A resulting Lexical Knowledge Base made up of 88,019 semantic combinations linking 20,626 WordNet 3.0 unique synsets with a relation edge.
  • A user-friendly web interface for looking up terms and their lexical-semantic combinations, with complete linkage to BabelNet 4.0.

M. Maru, F. Scozzafava, F. Martelli and R. Navigli present SyntagNet: Challenging Supervised Word Sense Disambiguation with Lexical-Semantic Combinations (Proc. of EMNLP-IJCNLP 2019), 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).

SyntagNet is an output of the MOUSSE ERC Consolidator Grant No. 726487 and of the ELEXIS project No. 731015 under the European Union’s Horizon 2020 research and innovation programme. Babelscape proudly developed the online interface and API, and provides the infrastructure for maintaining the service.