Models and Training for Unsupervised Preposition Sense Disambiguation.

Dirk Hovy,Ashish Vaswani,Stephen Tratz,David Chiang,Eduard H. Hovy

HLT '11: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2（2011）

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摘要

We present a preliminary study on unsu-pervised preposition sense disambiguation (PSD), comparing different models and training techniques (EM, MAP-EM with L 0 norm, Bayesian inference using Gibbs sampling). To our knowledge, this is the first attempt at un-supervised preposition sense disambiguation. Our best accuracy reaches 56%, a significant improvement (at p <.001) of 16% over the most-frequent-sense baseline.

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关键词

un-supervised preposition sense disambiguation,unsu-pervised preposition sense disambiguation,Bayesian inference,Gibbs sampling,L0 norm,best accuracy,different model,preliminary study,significant improvement,training technique,unsupervised preposition sense disambiguation

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