Effective extraction of query relevant information present within documents on the web is a nontrivial task. In this paper we present our system called QueSTS, which does the abov...
M. Sravanthi, C. Ravindranath Chowdary, P. Sreeniv...
Multidocument extractive summarization relies on the concept of sentence centrality to identify the most important sentences in a document. Centrality is typically defined in term...
Given a set of categories, with or without a preexisting hierarchy among them, we consider the problem of assigning documents to one or more of these categories from the point of ...
Stephen D'Alessio, Keitha A. Murray, Robert Schiaf...
The output of handwritten word recognizers (WR) tends to be very noisy due to various factors. In order to compensate for this behaviour, several choices of the WR must be initial...
We present a description of three different algorithms that use background knowledge to improve text classifiers. One uses the background knowledge as an index into the set of tra...