Discovering word senses from text
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Semi-supervised learning of semantic classes for query understanding: from the web and for the web
Proceedings of the 18th ACM conference on Information and knowledge management
Fine-grained class label markup of search queries
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
A joint model for discovery of aspects in utterances
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
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We describe improvements to the use of semantic lexicons by a state-of-the-art query interpretation system powering a major search engine. We successfully compute concept label importance information for lexicon strings; lexicon augmentation with such information leads to a 6.4% precision increase on affected queries with no query coverage loss. Finally, lexicon filtering based on label importance leads to a 13% precision increase, but at the expense of query coverage.