Paper: Robust Word Sense Translation By EM Learning Of Frame Semantics

ACL ID P06-2031
Title Robust Word Sense Translation By EM Learning Of Frame Semantics
Venue Annual Meeting of the Association of Computational Linguistics
Session Poster Session
Year 2006
Authors

We propose a robust method of auto- matically constructing a bilingual word sense dictionary from readily available monolingual ontologies by using esti- mation-maximization, without any an- notated training data or manual tuning. We demonstrate our method on the English FrameNet and Chinese HowNet structures. Owing to the robustness of EM iterations in improving translation likelihoods, our word sense translation accuracies are very high, at 82% on av- erage, for the 11 most ambiguous words in the English FrameNet with 5 senses or more. We also carried out a pilot study on using this automatically gener- ated bilingual word sense dictionary to choose the best translation candidates and show the first significant evidence that frame semantics are useful for translation disambiguation. Tran...