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
Foundations of statistical natural language processing
Foundations of statistical natural language processing
Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
The impact on retrieval effectiveness of skewed frequency distributions
ACM Transactions on Information Systems (TOIS)
A probabilistic model of information retrieval: development and comparative experiments
Information Processing and Management: an International Journal
Information Retrieval
Word sense disambiguation in information retrieval revisited
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Unsupervised word sense disambiguation rivaling supervised methods
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Word sense disambiguation in queries
Proceedings of the 14th ACM international conference on Information and knowledge management
The role of knowledge in conceptual retrieval: a study in the domain of clinical medicine
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Information retrieval with commonsense knowledge
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Differentiating homonymy and polysemy in information retrieval
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Personalized query expansion for the web
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
A method for computing lexical semantic distance using linear functionals
Web Semantics: Science, Services and Agents on the World Wide Web
Faceted search and retrieval based on semantically annotated product family ontology
Proceedings of the WSDM '09 Workshop on Exploiting Semantic Annotations in Information Retrieval
Word Clustering for Collocation-Based Word Sense Disambiguation
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
On the use of automatically acquired examples for all-nouns word sense disambiguation
Journal of Artificial Intelligence Research
Automatic feeding of an innovation knowledge base using a semantic representation of field knowledge
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part I
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Analysis of word sense disambiguation-based information retrieval
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Information Processing and Management: an International Journal
A topological embedding of the lexicon for semantic distance computation
Natural Language Engineering
Robust and efficient page rank for word sense disambiguation
TextGraphs-5 Proceedings of the 2010 Workshop on Graph-based Methods for Natural Language Processing
Inducing word senses to improve web search result clustering
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Using semantic relatedness and word sense disambiguation for (CL)IR
CLEF'09 Proceedings of the 10th cross-language evaluation forum conference on Multilingual information access evaluation: text retrieval experiments
Elhuyar-IXA: semantic relatedness and cross-lingual passage retrieval
CLEF'09 Proceedings of the 10th cross-language evaluation forum conference on Multilingual information access evaluation: text retrieval experiments
Document expansion based on WordNet for robust IR
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Automatic extraction of acronym definitions from the Web
Applied Intelligence
Measuring historical word sense variation
Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries
Enriching document representation via translation for improved monolingual information retrieval
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Interactive sense feedback for difficult queries
Proceedings of the 20th ACM international conference on Information and knowledge management
Does word sense disambiguation improve information retrieval?
Proceedings of the fourth workshop on Exploiting semantic annotations in information retrieval
LSM: language sense model for information retrieval
WAIM '06 Proceedings of the 7th international conference on Advances in Web-Age Information Management
Natural language technology and query expansion: issues, state-of-the-art and perspectives
Journal of Intelligent Information Systems
Word sense disambiguation improves information retrieval
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Recurrent Confabulation Model for Annotated Image Retrieval
International Journal of Intelligent Systems
Latent word context model for information retrieval
Information Retrieval
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Information retrieval using word senses is emerging as a good research challenge on semantic information retrieval. In this paper, we propose a new method using word senses in information retrieval: root sense tagging method. This method assigns coarse-grained word senses defined in WordNet to query terms and document terms by unsupervised way using co-occurrence information constructed automatically. Our sense tagger is crude, but performs consistent disambiguation by considering only the single most informative word as evidence to disambiguate the target word. We also allow multiple-sense assignment to alleviate the problem caused by incorrect disambiguation.Experimental results on a large-scale TREC collection show that our approach to improve retrieval effectiveness is successful, while most of the previous work failed to improve performances even on small text collection. Our method also shows promising results when is combined with pseudo relevance feedback and state-of-the-art retrieval function such as BM25.