In many topic identification applications, supervised training labels are indirectly related to the semantic content of the documents being classified. For example, many topical...
Topic segmentation and identification are often tackled as separate problems whereas they are both part of topic analysis. In this article, we study how topic identification can...
In this paper we investigate a discriminative approach to feature weighting for topic identification using minimum classification error (MCE) training. Our approach learns featu...