Disambiguating Verbs by Collocation: Corpus Lexicography meets
Natural Language Processing

D 2014

Disambiguating Verbs by Collocation: Corpus Lexicography meets Natural Language Processing

EL MAAROUF, Ismaïl, Bradbury JANE, Vít BAISA and Patrick HANKS

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

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Iceland

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

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

Abstract

V originále

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 project

Name: LINDAT-CLARIN: Institut pro analýzu, zpracování a distribuci lingvistických dat (Acronym: LINDAT-Clarin)

Investor: Ministry of Education, Youth and Sports of the CR

Citovat

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.

@inproceedings{1196633,
   author = {El Maarouf, Ismaïl and Jane, Bradbury and Baisa, Vít and Hanks, Patrick},
   address = {Reykjavik, Iceland},
   booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)},
   editor = {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},
   keywords = {Corpus Pattern Analysis; Word Sense Disambiguation; Lexical Semantics},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Reykjavik, Iceland},
   isbn = {978-2-9517408-8-4},
   pages = {1001-1006},
   publisher = {European Language Resources Association (ELRA)},
   title = {Disambiguating Verbs by Collocation: Corpus Lexicography meets Natural Language Processing},
   url = {http://www.lrec-conf.org/proceedings/lrec2014/pdf/34_Paper.pdf},
   year = {2014}
}

TY  - JOUR
ID  - 1196633
AU  - El Maarouf, Ismaïl - Jane, Bradbury - Baisa, Vít - Hanks, Patrick
PY  - 2014
TI  - Disambiguating Verbs by Collocation: Corpus Lexicography meets Natural Language Processing
PB  - European Language Resources Association (ELRA)
CY  - Reykjavik, Iceland
SN  - 9782951740884
KW  - Corpus Pattern Analysis
KW  - Word Sense Disambiguation
KW  - Lexical Semantics
UR  - http://www.lrec-conf.org/proceedings/lrec2014/pdf/34_Paper.pdf
N2  - 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.
ER  -

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. \textit{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.

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