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SyntagNet is now out: a large lexical-semantic combination Knowledge Base

From: Roberto Navigli <navigli@di.uniroma1.it>
Date: Thu, 9 Apr 2020 09:22:07 +0200
Message-ID: <CAESezimHjmZmzBWuzre4Q7SDyx9P-1MaoySW4mYNn951ZKppbQ@mail.gmail.com>
To: semantic-web@w3.org
 *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
   <https://en.wikipedia.org/wiki/Main_Page> and the British National Corpus
   <http://www.natcorp.ox.ac.uk/>.
   -

   *High-quality*, *fully manual disambiguation *for all of the lexical
   combinations, according to the WordNet <https://wordnet.princeton.edu/>
   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
   <https://babelnet.org> 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
<https://www.aclweb.org/anthology/D19-1359/>, 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
<http://mousse-project.org/> No. 726487 and of the ELEXIS
<http://elex.is> project
No. 731015 under the European Union's Horizon 2020 research and innovation
programme. Babelscape <http://babelscape.com> proudly developed the online
interface and API, and provides the infrastructure for maintaining the
service.

Enjoy!

The Sapienza NLP group

-- 
=====================================
Roberto Navigli
Dipartimento di Informatica
Sapienza University of Rome
Viale Regina Elena 295b (building G, second floor)
00161 Roma Italy
Phone: +39 0649255161 - Fax: +39 06 49918301
Home Page: http://wwwusers.di.uniroma1.it/~navigli
Sapienza NLP Group: http://nlp.uniroma1.it
=====================================
Received on Thursday, 9 April 2020 07:22:47 UTC

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