This information from corpora-bounces@uib.no
SyntagNet, a resource with 88,000 lexical-semantic combinations, is now out!
We
are proud to announce that SyntagNet 1.0 (http://syntagnet.org)
is now available for download at http://syntagnet.org/download.
Developed at the Sapienza NLP group (http://nlp.uniroma1.it),
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 (e.g. mouse.n.1 and squeak.v.1 vs mouse.n.2 and click.n.4), 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.
And much more! Please check out our EMNLP 2019 paper:
M. Maru, F. Scozzafava, F. Martelli, R. Navigli. SyntagNet: Challenging Supervised Word Sense Disambiguation with Lexical-Semantic Combinations, Proc. of EMNLP-IJCNLP 2019
or
http://syntagnet.org
for more details!
SyntagRank,
a state-of-the-art knowledge-based Word Sense Disambiguation system which uses SyntagNet to perform disambiguation in
five languages (English, French, German, Italian and Spanish) is also available from the same website (will be
demoed at ACL 2020!).
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.
The
Sapienza NLP group