Low-dimensional topic models have been proven very useful for modeling a large corpus of documents that share a relatively small number of topics. Dimensionality reduction tools s...
This paper describes a novel Bayesian approach to unsupervised topic segmentation. Unsupervised systems for this task are driven by lexical cohesion: the tendency of wellformed se...
We present an approach for automatic detection of topic change. Our approach is based on the analysis of statistical features of topics in time-sliced corpora and their dynamics ov...
Abstract. The advent of context-aware computing requires a new paradigm in information management. Context information in a computing environment will take the form of disparate an...
A major contribution to global warming has been the number of new workshops publishing proceedings with the prefix hot. In this article, I propose that we counter this trend in an...