Paper: A Latent Topic Extracting Method based on Events in a Document and its Application

ACL ID P11-3006
Title A Latent Topic Extracting Method based on Events in a Document and its Application
Venue Annual Meeting of the Association of Computational Linguistics
Session Student Session
Year 2011
Authors

Recently, several latent topic analysis methods such as LSI, pLSI, and LDA have been widely used for text analysis. However, those meth- ods basically assign topics to words, but do not account for the events in a document. With this background, in this paper, we propose a latent topic extracting method which assigns topics to events. We also show that our pro- posed method is useful to generate a document summary based on a latent topic.