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» Representing Context Information for Document Retrieval
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SIGIR
2006
ACM
14 years 1 months ago
Tensor space model for document analysis
Vector Space Model (VSM) has been at the core of information retrieval for the past decades. VSM considers the documents as vectors in high dimensional space. In such a vector spa...
Deng Cai, Xiaofei He, Jiawei Han
IAT
2005
IEEE
14 years 1 months ago
Category-based Similarity Algorithm for Semantic Similarity in Multi-agent Information Sharing Systems
Similarity measures are mechanisms that assign a numeric score indicating how closely two documents, or a document and a query match. The Cosine measure is one of the similarity m...
Sepideh Miralaei, Ali A. Ghorbani
WWW
2008
ACM
14 years 8 months ago
Mining, indexing, and searching for textual chemical molecule information on the web
Current search engines do not support user searches for chemical entities (chemical names and formulae) beyond simple keyword searches. Usually a chemical molecule can be represen...
Bingjun Sun, Prasenjit Mitra, C. Lee Giles
NAACL
2004
13 years 9 months ago
Answering Definition Questions Using Multiple Knowledge Sources
Definition questions represent a largely unexplored area of question answering--they are different from factoid questions in that the goal is to return as many relevant "nugg...
Wesley Hildebrandt, Boris Katz, Jimmy J. Lin
RIAO
2007
13 years 9 months ago
Document frequency and term specificity
Document frequency is used in various applications in Information Retrieval and other related fields. An assumption frequently made is that the document frequency represents a lev...
Hideo Joho, Mark Sanderson