Data fusion has been investigated by many researchers in the information retrieval community and has become an effective technique for improving retrieval effectiveness. In this p...
Opinion detection research relies on labeled documents for training data, either by assumptions based on the document’s origin or by using human assessors to categorise the docu...
Term selection process is a very necessary component for most natural language processing tasks. Although different unsupervised techniques have been proposed, the best results ar...
In this paper, we present an approach to answering “Other” questions using the notion of interest marking terms. “Other” questions have been introduced in the TREC-QA track...
Taking advantage of the well-known cluster hypothesis that “closely associated documents tend to be relevant to the same request”, we can use inter-document similarity to prov...