Improving Word Sense Disambiguation Using Topic Features

  title={Improving Word Sense Disambiguation Using Topic Features},
  author={Junfu Cai and Wee Sun Lee and Yee Whye Teh},
This paper presents a novel approach for exploiting the global context for the task of word sense disambiguation (WSD). This is done by using topic features constructed using the latent dirichlet allocation (LDA) algorithm on unlabeled data. The features are incorporated into a modified na ı̈ve Bayes network alongside other features such as part-of-speech of neighboring words, single words in the surrounding context, local collocations, and syntactic patterns. In both the English all-words task… CONTINUE READING
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