Probabilistic question answering on the web
Proceedings of the 11th international conference on World Wide Web
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Query type classification for web document retrieval
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Query Expansion and Query Reduction in Document Retrieval
ICTAI '03 Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence
A simple rule-based part of speech tagger
ANLC '92 Proceedings of the third conference on Applied natural language processing
Lexical query paraphrasing for document retrieval
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Using machine learning techniques to interpret WH-questions
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
The structure and performance of an open-domain question answering system
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Automatic classification of Web queries using very large unlabeled query logs
ACM Transactions on Information Systems (TOIS)
Robust classification of rare queries using web knowledge
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Optimizing relevance and revenue in ad search: a query substitution approach
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Search advertising using web relevance feedback
Proceedings of the 17th ACM conference on Information and knowledge management
Classifying search queries using the Web as a source of knowledge
ACM Transactions on the Web (TWEB)
A feature-free search query classification approach using semantic distance
Expert Systems with Applications: An International Journal
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Analysis of queries posed to open-domain question-answering systems indicates that particular types of queries are dominant, e.g., queries about the identity of people, and about the location or time of events We applied a rule-based mechanism and performed manual classification to classify queries into such commonly occurring types We then experimented with different adjustments to our basic document retrieval process for each query type The application of the best retrieval adjustment for each query type yielded improvements in retrieval performance Finally, we applied a machine learning technique to automatically learn the manually classified query types, and applied the best retrieval adjustments obtained for the manual classification to the automatically learned query classes The learning algorithm exhibited high accuracy, and the retrieval performance obtained for the learned classes was consistent with the performance obtained for the rule-based and manual classifications.