News from Sapienza NLP

SyntagNet is now out!

You can now download Syntagnet 1.0 at

We are proud to announce that SyntagNet 1.0 ( is finally available for download. Developed at the Sapienza NLP group, the multilingual Natural Language Processing group at the Sapienza University of Rome, SyntagNet is a manually-curated large-scale lexical-semantic combination database which associates pairs of concepts with pairs of co-occurring words. The goal of SyntagNet is to capture sense distinctions evoked by syntagmatic relations, hence providing information which complements with the essentially paradigmatic knowledge shared by currently available Lexical Knowledge Bases.

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.

And much more! Please check out our EMNLP 2019 paper “SyntagNet: Challenging Supervised Word Sense Disambiguation with Lexical-Semantic Combinations” or for more details!

SyntagRank, a state-of-the-art knowledge-based WSD system which uses SyntagNet to perform disambiguation in five languages (English, German, French, Spanish, and Italian) is also available from the same website.

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.

Kind regards,
The Sapienza NLP group