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ACL
2006
13 years 6 months ago
Argumentative Feedback: A Linguistically-Motivated Term Expansion for Information Retrieval
We report on the development of a new automatic feedback model to improve information retrieval in digital libraries. Our hypothesis is that some particular sentences, selected ba...
Patrick Ruch, Imad Tbahriti, Julien Gobeill, Alan ...
ICTIR
2009
Springer
13 years 11 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
13 years 4 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...
SIGIR
2005
ACM
13 years 10 months ago
The loquacious user: a document-independent source of terms for query expansion
In this paper we investigate the effectiveness of a documentindependent technique for eliciting feedback from users about their information problems. We propose that such a techni...
Diane Kelly, Vijay Deepak Dollu, Xin Fu
IADIS
2004
13 years 6 months ago
Relevance feedback using semantic association between indexing terms in large free text corpuses
Relevance feedback has been considered as a means of incorporating learning into information retrieval systems for quite sometime now. This paper discusses the research results of...
Shahzad Khan, Kenan Azam