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» Using Information Extraction to Improve Document Retrieval
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JODL
2007
109views more  JODL 2007»
15 years 6 months ago
Examining topic shifts in content-oriented XML retrieval
Abstract. Content-oriented XML retrieval systems support access to XML repositories by retrieving, in response to user queries, XML document components (XML elements) instead of wh...
Elham Ashoori, Mounia Lalmas, Theodora Tsikrika
CIKM
2007
Springer
16 years 29 days ago
Wikify!: linking documents to encyclopedic knowledge
This paper introduces the use of Wikipedia as a resource for automatic keyword extraction and word sense disambiguation, and shows how this online encyclopedia can be used to achi...
Rada Mihalcea, Andras Csomai
ECIR
2006
Springer
15 years 8 months ago
Improving Quality of Search Results Clustering with Approximate Matrix Factorisations
Abstract. In this paper we show how approximate matrix factorisations can be used to organise document summaries returned by a search engine into meaningful thematic categories. We...
Stanislaw Osinski
CORR
2002
Springer
72views Education» more  CORR 2002»
15 years 6 months ago
Using the Annotated Bibliography as a Resource for Indicative Summarization
We report on a language resource consisting of 2000 annotated bibliography entries, which is being analyzed as part of our research on indicative document summarization. We show h...
Min-Yen Kan, Judith L. Klavans, Kathleen McKeown
TKDE
2010
224views more  TKDE 2010»
15 years 5 months ago
Probabilistic Topic Models for Learning Terminological Ontologies
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela