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» Using Information Extraction to Improve Document Retrieval
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IJWGS
2008
116views more  IJWGS 2008»
15 years 4 months ago
Harnessing user contributions and dynamic profiling to better satisfy individual information search needs
: In the situation of information overload we are experiencing today, conventional web search systems taking a one-size-fits-all approach are often not capable of effectively satis...
Roman Y. Shtykh, Qun Jin
177
Voted
HIM
1997
Springer
169views Multimedia» more  HIM 1997»
15 years 8 months ago
High Precision Hypertext Navigation Based on NLP Automatic Extractions
The growing popularity of hypertext navigation systems and the availability of large documentary databases is leading to the design of navigation systems that allow to explore the...
Frantz Vichot, Francis Wolinski, Joseph Tomeh, Syl...
AINA
2009
IEEE
15 years 2 months ago
Document-Oriented Pruning of the Inverted Index in Information Retrieval Systems
Searching very large collections can be costly in both computation and storage. To reduce this cost, recent research has focused on reducing the size (pruning) of the inverted ind...
Lei Zheng, Ingemar J. Cox
SIGIR
2010
ACM
15 years 8 months ago
Inferring user intent in web search by exploiting social annotations
In this paper, we present a folksonomy-based approach for implicit user intent extraction during a Web search process. We present a number of result re-ranking techniques based on...
Jose M. Conde, David Vallet, Pablo Castells
AWIC
2003
Springer
15 years 8 months ago
A Natural Language Interface for Information Retrieval on Semantic Web Documents
Abstract. We present a dialogue system that enables the access in natural language to a web information retrieval system. We use a Web Semantic Language to model the knowledge conv...
Paulo Quaresma, Irene Pimenta Rodrigues