Disambiguating Nouns, Verbs, and Adjectives Using Automatically Acquired Selectional Preferences

McCarthy, Diana and Carroll, John (2003) Disambiguating Nouns, Verbs, and Adjectives Using Automatically Acquired Selectional Preferences. Computational Linguistics, 29 (4). pp. 639-654. ISSN 0891-2017

Download (236kB) | Preview


Selectional preferences have been used by word sense disambiguation (WSD) systems as one source of disambiguating information. We evaluate WSD using selectional preferences acquired for English adjective—noun, subject, and direct object grammatical relationships with respect to a standard test corpus. The selectional preferences are specific to verb or adjective classes, rather than individual word forms, so they can be used to disambiguate the co-occurring adjectives and verbs, rather than just the nominal argument heads. We also investigate use of the one-senseper-discourse heuristic to propagate a sense tag for a word to other occurrences of the same word within the current document in order to increase coverage. Although the preferences perform well in comparison with other unsupervised WSD systems on the same corpus, the results show that for many applications, further knowledge sources would be required to achieve an adequate level of accuracy and coverage. In addition to quantifying performance, we analyze the results to investigate the situations in which the selectional preferences achieve the best precision and in which the one-sense-per-discourse heuristic increases performance.

Item Type: Article
Additional Information: Copyright owned by MIT press, appropriate permissions should be sought before making any use of this article for purposes other than private research.
Schools and Departments: School of Engineering and Informatics > Informatics
Subjects: Q Science > QA Mathematics > QA0075 Electronic computers. Computer science
Depositing User: Chris Keene
Date Deposited: 27 Jul 2007
Last Modified: 08 Mar 2017 13:55
URI: http://srodev.sussex.ac.uk/id/eprint/1212
Google Scholar:70 Citations

View download statistics for this item

📧 Request an update