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ICTIR
2009
Springer
15 years 6 months ago
"A term is known by the company it keeps": On Selecting a Good Expansion Set in Pseudo-Relevance Feedback
Abstract. It is well known that pseudo-relevance feedback (PRF) improves the retrieval performance of Information Retrieval (IR) systems in general. However, a recent study by Cao ...
Raghavendra Udupa, Abhijit Bhole, Pushpak Bhattach...
SIGIR
2008
ACM
14 years 11 months ago
Selecting good expansion terms for pseudo-relevance feedback
Pseudo-relevance feedback assumes that most frequent terms in the pseudo-feedback documents are useful for the retrieval. In this study, we re-examine this assumption and show tha...
Guihong Cao, Jian-Yun Nie, Jianfeng Gao, Stephen R...
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EMNLP
2009
14 years 9 months ago
A Study on the Semantic Relatedness of Query and Document Terms in Information Retrieval
The use of lexical semantic knowledge in information retrieval has been a field of active study for a long time. Collaborative knowledge bases like Wikipedia and Wiktionary, which...
Christof Müller, Iryna Gurevych
WIDM
2005
ACM
15 years 5 months ago
A search result clustering method using informatively named entities
Clustering the results of a search helps the user to overview the information returned. In this paper, we regard the clustering task as indexing the search results. Here, an index...
Hiroyuki Toda, Ryoji Kataoka
IR
2010
14 years 9 months ago
Statistical query expansion for sentence retrieval and its effects on weak and strong queries
The retrieval of sentences that are relevant to a given information need is a challenging passage retrieval task. In this context, the well-known vocabulary mismatch problem arises...
David E. Losada