In this paper, we propose a new language model, namely, a dependency structure language model, for topic detection and tracking (TDT) to compensate for weakness of unigram and bigram language models. The dependency structure language model is based on the

Loïs Rigouste، نويسنده , , Olivier Cappé، نويسنده , , François Yvon، نويسنده ,

دوماهنامه با شماره پیاپی سال 2007

21

1260

1280

Gibbs sampling , Text clustering , Multinomial mixture model , Expectation-maximization

Information Processing and Management

2007

Information Processing and Management

233897