Paper: Modeling Chinese Documents with Topical Word-Character Models

ACL ID C08-1044
Title Modeling Chinese Documents with Topical Word-Character Models
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2008

As Chinese text is written without word boundaries, effectively recognizing Chi- nese words is like recognizing colloca- tions in English, substituting characters for words and words for collocations. However, existing topical models that in- volve collocations have a common limi- tation. Instead of directly assigning a top- ic to a collocation, they take the topic of a word within the collocation as the topic of the whole collocation. This is unsatis- factory for topical modeling of Chinese documents. Thus, we propose a topical word-character model (TWC), which al- lows two distinct types of topics: word topic and character topic. We evaluated TWC both qualitatively and quantitatively to show that it is a power- ful and a promising topic model.