Evaluation of a method of creating new valency entries

Francis Bond, Sanae Fujita


Abstract
Information on subcategorization and selectional restrictions is important for natural language processing tasks such as deep parsing, rule-based machine translation and automatic summarization. In this paper we present a method of adding detailed entries to a bilingual dictionary, based on information in an existing valency dictionary. The method is based on two assumptions: words with similar meaning have similar subcategorization frames and selectional restrictions; and words with the same translations have similar meanings. Based on these assumptions, new valency entries are constructed from words in a plain bilingual dictionary, using entries with similar source-language meaning and the same target-language translations. We evaluate the effects of various measures of similarity in increasing accuracy.
Anthology ID:
2003.mtsummit-papers.3
Volume:
Proceedings of Machine Translation Summit IX: Papers
Month:
September 23-27
Year:
2003
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New Orleans, USA
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MTSummit
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URL:
https://aclanthology.org/2003.mtsummit-papers.3
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Cite (ACL):
Francis Bond and Sanae Fujita. 2003. Evaluation of a method of creating new valency entries. In Proceedings of Machine Translation Summit IX: Papers, New Orleans, USA.
Cite (Informal):
Evaluation of a method of creating new valency entries (Bond & Fujita, MTSummit 2003)
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https://aclanthology.org/2003.mtsummit-papers.3.pdf