EL MAAROUF, Ismaïl, Bradbury JANE, Vít BAISA and Patrick HANKS. Disambiguating Verbs by Collocation: Corpus Lexicography meets Natural Language Processing. Online. In Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis. Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14). Reykjavik, Iceland: European Language Resources Association (ELRA), 2014, p. 1001-1006. ISBN 978-2-9517408-8-4.
Other formats:   BibTeX LaTeX RIS
Basic information
Original name Disambiguating Verbs by Collocation: Corpus Lexicography meets Natural Language Processing
Authors EL MAAROUF, Ismaïl (250 France, guarantor), Bradbury JANE (826 United Kingdom of Great Britain and Northern Ireland), Vít BAISA (203 Czech Republic, belonging to the institution) and Patrick HANKS (826 United Kingdom of Great Britain and Northern Ireland).
Edition Reykjavik, Iceland, Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), p. 1001-1006, 6 pp. 2014.
Publisher European Language Resources Association (ELRA)
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Iceland
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL
RIV identification code RIV/00216224:14330/14:00076326
Organization unit Faculty of Informatics
ISBN 978-2-9517408-8-4
UT WoS 000355611002093
Keywords in English Corpus Pattern Analysis; Word Sense Disambiguation; Lexical Semantics
Tags firank_B
Tags International impact, Reviewed
Changed by Changed by: Mgr. Michal Petr, učo 65024. Changed: 20/7/2018 14:44.
Abstract
This paper reports the results of Natural Language Processing (NLP) experiments in semantic parsing, based on a new semantic resource, the Pattern Dictionary of English Verbs (PDEV) (Hanks, 2013). This work is set in the DVC (Disambiguating Verbs by Collocation) project , a project in Corpus Lexicography aimed at expanding PDEV to a large scale. This project springs from a long-term collaboration of lexicographers with computer scientists which has given rise to the design and maintenance of specific, adapted, and user-friendly editing and exploration tools. Particular attention is drawn on the use of NLP deep semantic methods to help in data processing. Possible contributions of NLP include pattern disambiguation, the focus of this article. The present article explains how PDEV differs from other lexical resources and describes its structure in detail. It also presents new classification experiments on a subset of 25 verbs. The SVM model obtained a micro-average F1 score of 0.81.
Links
LM2010013, research and development projectName: LINDAT-CLARIN: Institut pro analýzu, zpracování a distribuci lingvistických dat (Acronym: LINDAT-Clarin)
Investor: Ministry of Education, Youth and Sports of the CR
PrintDisplayed: 16/7/2024 14:26