The impact of syntactic structure on verb-noun collocation extraction

P. 2–17.

Toldova S. Y., Akinina Y. S., Kuznetsov I. O.

Automatic verb-noun collocation extraction is an important natural language processing task. The results obtained in this area of research can be used in a variety of applications including language modeling, thesaurus building, semantic role labeling, and machine translation. Our paper de-scribes an experiment aimed at comparing the verb-noun collocation lists extracted from a large corpus using a raw word order-based and a syntax-based approach. The hypothesis was that the latter method would result in less noisy and more exhaustive collocation sets. The experiment has shown that the collocation sets obtained using the two methods have a surprisingly low degree of correspondence. Moreover, the collocate lists extracted by means of the window-based method are often more complete than the ones obtained by means of the syntax-based algorithm, despite its ability to filter out adjacent collocates and reach the distant ones. In order to interpret these differences, we provide a qualitative analysis of some common mismatch cases.

Ключевые слова: corpus analysis, collocations, treebank, syntactic dependencies, automatic collocation extraction, parsing

В книге

Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной Международной конференции «Диалог» (Бекасово, 29 мая - 2 июня 2013 г.). В 2-х т.

Т. 1: Основная программа конференции. Вып. 12 (19). , М.: РГГУ, 2013.