Summative evaluation methods for supervised adaptive topic tracking systems convolve the effect of system decisions on present utility with the effect on future utility. This pa...
Summarization of text documents is increasingly important with the amount of data available on the Internet. The large majority of current approaches view documents as linear sequ...
We propose a new method to find related papers using an input paper and its hyperlinked citation relationships rather than keywords. Such related papers are especially useful as b...
Hierarchies provide a means of organizing, summarizing and accessing information. We describe a method for automatically generating hierarchies from small collections of text, and...
Probabilistic Latent Semantic Indexing is a novel approach to automated document indexing which is based on a statistical latent class model for factor analysis of count data. Fit...