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» Clustering Top-Ranking Sentences for Information Access
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ERCIMDL
2003
Springer
109views Education» more  ERCIMDL 2003»
13 years 10 months ago
Clustering Top-Ranking Sentences for Information Access
Abstract. In this paper we propose the clustering of top-ranking sentences (TRS) for effective information access. Top-ranking sentences are selected by a query-biased sentence ex...
Anastasios Tombros, Joemon M. Jose, Ian Ruthven
INTERACT
2003
13 years 6 months ago
Clustering the Information Space Using Top-Ranking Sentences: A Study of User Interaction
: By considering sentences selected by a query-biased sentence extraction model from the top-retrieved documents, we create a personalised information space which is characterised ...
Anastasios Tombros, Joemon M. Jose, Ian Ruthven, R...
LREC
2008
126views Education» more  LREC 2008»
13 years 6 months ago
Identifying Strategic Information from Scientific Articles through Sentence Classification
We address here the need to assist users in rapidly accessing the most important or strategic information in the text corpus by identifying sentences carrying specific information...
Fidelia Ibekwe-Sanjuan, Chaomei Chen, Roberto Pinh...
IPM
2007
143views more  IPM 2007»
13 years 4 months ago
QCS: A system for querying, clustering and summarizing documents
Information retrieval systems consist of many complicated components. Research and development of such systems is often hampered by the difficulty in evaluating how each particula...
Daniel M. Dunlavy, Dianne P. O'Leary, John M. Conr...