Disambiguating Verbs by Collocation: Corpus Lexicography meets Natural Language Processing


This publication doesn't include Faculty of Arts. It includes Faculty of Informatics. Official publication website can be found on muni.cz.


EL MAAROUF Ismail JANE Bradbury BAISA Vít HANKS Patrick

Year of publication 2014
Type Article in Proceedings
Conference Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
MU Faculty or unit

Faculty of Informatics

Web http://www.lrec-conf.org/proceedings/lrec2014/pdf/34_Paper.pdf
Field Informatics
Keywords Corpus Pattern Analysis; Word Sense Disambiguation; Lexical Semantics
Description 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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