Topic models are a useful tool for analyzing large text collections, but have previously been applied in only monolingual, or at most bilingual, contexts. Meanwhile, massive colle...
David M. Mimno, Hanna M. Wallach, Jason Naradowsky...
In this study we will discuss our cross language text retrieval (CLIR) experiments of Persian ad hoc track at CLEF 2008. Two teams from University of Tehran were involved in cross...
Language model (LM) adaptation is important for both speech and language processing. It is often achieved by combining a generic LM with a topic-specific model that is more releva...
Managing time-stamped data is essential to clinical research activities and often requires the use of considerable domain knowledge, which is difficult to support within database ...
Martin J. O'Connor, Ravi D. Shankar, David B. Parr...
Many document collections are by nature dynamic, evolving as the topics or events they describe change. The goal of temporal text mining is to discover bursty patterns and to ident...