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» Document Retrieval using a Probabilistic Knowledge Model
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RECOMB
2002
Springer
15 years 10 months ago
Probabilistic hierarchical clustering for biological data
Biological data, such as gene expression profiles or protein sequences, is often organized in a hierarchy of classes, where the instances assigned to "nearby" classes in...
Eran Segal, Daphne Koller
DEXAW
2007
IEEE
116views Database» more  DEXAW 2007»
15 years 4 months ago
Regression Relevance Models for Data Fusion
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...
Shengli Wu, Yaxin Bi, Sally I. McClean
EACL
2006
ACL Anthology
14 years 11 months ago
A Two-Stage Approach to Retrieving Answers for How-To Questions
This paper addresses the problem of automatically retrieving answers for how-to questions, focusing on those that inquire about the procedure for achieving a specific goal. For su...
Ling Yin
DEXAW
2008
IEEE
120views Database» more  DEXAW 2008»
15 years 4 months ago
Self-Similarity Metric for Index Pruning in Conceptual Vector Space Models
— One of the critical issues in search engines is the size of search indexes: as the number of documents handled by an engine increases, the search must preserve its efficiency,...
Dario Bonino, Fulvio Corno
SIGIR
2004
ACM
15 years 3 months ago
Focused named entity recognition using machine learning
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
Li Zhang, Yue Pan, Tong Zhang