Personalized PageRank with Syntagmatic Information for Multilingual Word Sense Disambiguation

Federico Scozzafava, Marco Maru, Fabrizio Brignone, Giovanni Torrisi, Roberto Navigli


Abstract
Exploiting syntagmatic information is an encouraging research focus to be pursued in an effort to close the gap between knowledge-based and supervised Word Sense Disambiguation (WSD) performance. We follow this direction in our next-generation knowledge-based WSD system, SyntagRank, which we make available via a Web interface and a RESTful API. SyntagRank leverages the disambiguated pairs of co-occurring words included in SyntagNet, a lexical-semantic combination resource, to perform state-of-the-art knowledge-based WSD in a multilingual setting. Our service provides both a user-friendly interface, available at http://syntagnet.org/, and a RESTful endpoint to query the system programmatically (accessible at http://api.syntagnet.org/).
Anthology ID:
2020.acl-demos.6
Volume:
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
Month:
July
Year:
2020
Address:
Online
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
37–46
Language:
URL:
https://aclanthology.org/2020.acl-demos.6
DOI:
10.18653/v1/2020.acl-demos.6
Bibkey:
Cite (ACL):
Federico Scozzafava, Marco Maru, Fabrizio Brignone, Giovanni Torrisi, and Roberto Navigli. 2020. Personalized PageRank with Syntagmatic Information for Multilingual Word Sense Disambiguation. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 37–46, Online. Association for Computational Linguistics.
Cite (Informal):
Personalized PageRank with Syntagmatic Information for Multilingual Word Sense Disambiguation (Scozzafava et al., ACL 2020)
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PDF:
https://aclanthology.org/2020.acl-demos.6.pdf
Video:
 http://slideslive.com/38928604