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» Using Information Extraction to Improve Document Retrieval
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SIGIR
2002
ACM
15 years 4 months ago
Improving stemming for Arabic information retrieval: light stemming and co-occurrence analysis
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...
SIGIR
2008
ACM
15 years 5 months ago
Learning to rank at query-time using association rules
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...
PRICAI
2004
Springer
15 years 10 months ago
Coherent Arrangement of Sentences Extracted from Multiple Newspaper Articles
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...
Naoaki Okazaki, Yutaka Matsuo, Mitsuru Ishizuka
CLEF
2004
Springer
15 years 8 months ago
Searching a Russian Document Collection Using English, Chinese and Japanese Queries
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...
Fredric C. Gey
CIKM
2010
Springer
15 years 3 months ago
Improving verbose queries using subset distribution
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 ...
Xiaobing Xue, Samuel Huston, W. Bruce Croft