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/).
Personalized PageRank with Syntagmatic Information for Multilingual Word Sense Disambiguation / Scozzafava, Federico; Maru, Marco; Brignone, Fabrizio; Torrisi, Giovanni; Navigli, Roberto. - (2020), pp. 37-46. ((Intervento presentato al convegno The 58th Annual Meeting of the Association for Computational Linguistics tenutosi a Seattle, WA, USA.
Titolo: | Personalized PageRank with Syntagmatic Information for Multilingual Word Sense Disambiguation | |
Autori: | ||
Data di pubblicazione: | 2020 | |
Citazione: | Personalized PageRank with Syntagmatic Information for Multilingual Word Sense Disambiguation / Scozzafava, Federico; Maru, Marco; Brignone, Fabrizio; Torrisi, Giovanni; Navigli, Roberto. - (2020), pp. 37-46. ((Intervento presentato al convegno The 58th Annual Meeting of the Association for Computational Linguistics tenutosi a Seattle, WA, USA. | |
Handle: | http://hdl.handle.net/11573/1424203 | |
ISBN: | 978-1-952148-04-0 | |
Appartiene alla tipologia: | 04b Atto di convegno in volume |
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