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» Representing Context Information for Document Retrieval
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AINA
2009
IEEE
13 years 5 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
2008
ACM
13 years 8 months ago
Improving biomedical document retrieval using domain knowledge
Research articles typically introduce new results or findings and relate them to knowledge entities of immediate relevance. However, a large body of context knowledge related to t...
Shuguang Wang, Milos Hauskrecht
CICLING
2008
Springer
13 years 10 months ago
On Ontology Based Abduction for Text Interpretation
Abstract. Text interpretation can be considered as the process of extracting deep-level semantics from unstructured text documents. Deeplevel semantics represent abstract index str...
Irma Sofia Espinosa Peraldi, Atila Kaya, Sylvia Me...
SIGMOD
2011
ACM
219views Database» more  SIGMOD 2011»
12 years 11 months ago
Context-sensitive ranking for document retrieval
We study the problem of context-sensitive ranking for document retrieval, where a context is defined as a sub-collection of documents, and is specified by queries provided by do...
Liang Jeff Chen, Yannis Papakonstantinou
NIPS
1998
13 years 9 months ago
Restructuring Sparse High Dimensional Data for Effective Retrieval
The task in text retrieval is to find the subset of a collection of documents relevant to a user's information request, usually expressed as a set of words. Classically, docu...
Charles Lee Isbell Jr., Paul A. Viola