Retrieval performance in Ferret a conceptual information retrieval system
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
Lexical ambiguity and information retrieval
ACM Transactions on Information Systems (TOIS)
Using WordNet to disambiguate word senses for text retrieval
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Word sense disambiguation and information retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Results of applying probabilistic IR to OCR text
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
TREC-2 Proceedings of the second conference on Text retrieval conference
One-time complete indexing of text: theory and practice
SIGIR '85 Proceedings of the 8th annual international ACM SIGIR conference on Research and development in information retrieval
Categorizing and standardizing proper nouns for efficient information retrieval
Corpus processing for lexical acquisition
Towards building contextual representations of word senses using statistical models
Corpus processing for lexical acquisition
Readings in information retrieval
Readings in information retrieval
Conceptual information extraction and retrieval from natural language input
Readings in information retrieval
Natural language information retrieval: progress report
Information Processing and Management: an International Journal - The sixth text REtrieval conference (TREC-6)
A vector space model for automatic indexing
Communications of the ACM
Extending the boolean and vector space models of information retrieval with p-norm queries and multiple concept types
Building effective queries in natural language information retrieval
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Exploiting syntactic analysis of queries for information retrieval
Data & Knowledge Engineering
Adaptive Context-based term (re)weightingAn experiment on Single-Word Question Answering
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
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Information retrieval addresses the problem of finding those documents whose content matches a user's request from among a large collection of documents. Currently, the most successful general purpose retrieval methods are statistical methods that treat text as little more than a bag of words. However, attempts to improve retrieval performance through more sophisticated linguistic processing have been largely unsuccessful. Indeed, unless done carefully, such processing can degrade retrieval effectiveness. Several factors contribute to the difficulty of improving on a good statistical baseline including: the forgiving nature but broad coverage of the typical retrieval task; the lack of good weighting schemes for compound index terms; and the implicit linguistic processing inherent in the statistical methods. Natural language processing techniques may be more important for related tasks such as question answering or document summarization.