Disambiguating Verbs by Collocation: Corpus Lexicography meets Natural Language Processing

Publikace nespadá pod Filozofickou fakultu, ale pod Fakultu informatiky. Oficiální stránka publikace je na webu muni.cz.

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EL MAAROUF Ismail JANE Bradbury BAISA Vít HANKS Patrick

Rok publikování 2014
Druh Článek ve sborníku
Konference Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
Fakulta / Pracoviště MU

Fakulta informatiky

Citace
www http://www.lrec-conf.org/proceedings/lrec2014/pdf/34_Paper.pdf
Obor Informatika
Klíčová slova Corpus Pattern Analysis; Word Sense Disambiguation; Lexical Semantics
Popis 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.
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