Arabic, a highly inflected language, requires good stemming for effective information retrieval, yet no standard approach to stemming has emerged. We developed several light stemm...
Leah S. Larkey, Lisa Ballesteros, Margaret E. Conn...
Some applications have to present their results in the form of ranked lists. This is the case of many information retrieval applications, in which documents must be sorted accordi...
Adriano Veloso, Humberto Mossri de Almeida, Marcos...
Multi-document summarization is a challenge to information overload problem to provide a condensed text for a number of documents. Most multi-document summarization systems make u...
As in CLEF 2003, Berkeley experimented with the CLEF Russian Izvestia document collection with monolingual and bilingual runs for the Russian collection. For CLEF 2004 we also expe...
Dealing with verbose (or long) queries poses a new challenge for information retrieval. Selecting a subset of the original query (a "sub-query") has been shown to be an ...