Grammatical category disambiguation by statistical optimization
Computational Linguistics
An approach to the automatic construction of global thesauri
Information Processing and Management: an International Journal
Term clustering of syntactic phrases
SIGIR '90 Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval
Notes and references on early automatic classification work
ACM SIGIR Forum
Acquiring disambiguation rules from text
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
The SMART Retrieval System—Experiments in Automatic Document Processing
The SMART Retrieval System—Experiments in Automatic Document Processing
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Natural language information retrieval in digital libraries
Proceedings of the first ACM international conference on Digital libraries
A corpus analysis approach for automatic query expansion
CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
Similarity-Based Models of Word Cooccurrence Probabilities
Machine Learning - Special issue on natural language learning
The paraphrase search assistant: terminological feedback for iterative information seeking
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Combining multiple evidence from different types of thesaurus for query expansion
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
A corpus analysis approach for automatic query expansion and its extension to multiple databases
ACM Transactions on Information Systems (TOIS)
Summarizing Similarities and Differences Among Related Documents
Information Retrieval
The Balancing Act, Judith L. Klavans and Philip Resnik
Journal of Logic, Language and Information
Query expansion and query translation as logical inference
Journal of the American Society for Information Science and Technology - Mathematical, logical, and formal methods in information retrieval
Adapting measures of clumping strength to assess term-term similarity
Journal of the American Society for Information Science and Technology
Automatic word sense discrimination
Computational Linguistics - Special issue on word sense disambiguation
Regular expressions for language engineering
Natural Language Engineering
Complementing WordNet with Roget's and corpus-based thesauri for information retrieval
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
SEXTANT: exploring unexplored contexts for semantic extraction from syntactic analysis
ACL '92 Proceedings of the 30th annual meeting on Association for Computational Linguistics
Corpus-dependent association thesauri for information retrieval
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Building a lexical domain map from text corpora
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
Robust interpretation of user requests for text retrieval in a multimodal environment
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 2
Reformulation of queries using similarity thesauri
Information Processing and Management: an International Journal
Data & Knowledge Engineering
Context-sensitive semantic smoothing for the language modeling approach to genomic IR
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Computation on sentence semantic distance for novelty detection
Journal of Computer Science and Technology
Orthographic Errors in Web Pages: Toward Cleaner Web Corpora
Computational Linguistics
Improving query precision using semantic expansion
Information Processing and Management: an International Journal
Improving information retrieval system performance by combining different text-mining techniques
Intelligent Data Analysis
Adapting information retrieval to query contexts
Information Processing and Management: an International Journal
Joining automatic query expansion based on thesaurus and word sense disambiguation using WordNet
International Journal of Computer Applications in Technology
Large-scale computation of distributional similarities for queries
NAACL-Short '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers
Using lexico-semantic information for query expansion in passage retrieval for question answering
IRQA '08 Coling 2008: Proceedings of the 2nd workshop on Information Retrieval for Question Answering
Reformulation of queries using similarity thesauri
Information Processing and Management: an International Journal
Relation extraction and validation algorithm
ICDCIT'07 Proceedings of the 4th international conference on Distributed computing and internet technology
Investigating retrieval performance with manually-built topic models
Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
Document frequency and term specificity
Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
Concrete sentence spaces for compositional distributional models of meaning
IWCS '11 Proceedings of the Ninth International Conference on Computational Semantics
Automatically structuring domain knowledge from text: An overview of current research
Information Processing and Management: an International Journal
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One aspect of world knowledge essential to information retrieval is knowing when two words are related. Knowing word relatedness allows a system given a user's query terms to retrieve relevant documents not containing those exact terms. Two words can be said to be related if they appear in the same contexts Document co-occurrence gives a measure of word relatedness that has proved to be too rough to be useful. The relatively recent apparition of on-line dictionaries and robust and rapid parsers permits the extraction of finer word contexts from large corpora. In this paper, we will describe such an extraction technique that uses only coarse syntactic analysis and no domain knowledge. This technique produces lists of words related to any work appearing in a corpus. When the closest related terms were used in query expansion of a standard information retrieval testbed, the results were much better than that given by document co-occurence techniques, and slightly better than using unexpanded queries, supporting the contention that semantically similar words were indeed extracted by this technique.