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Patterns of search: analyzing and modeling Web query refinement
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Analysis of a very large web search engine query log
ACM SIGIR Forum
Clustering user queries of a search engine
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Message Understanding Conference-6: a brief history
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Optimizing web search using web click-through data
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Generating query substitutions
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Yago: a core of semantic knowledge
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Extracting semantic relations from query logs
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Open information extraction from the web
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WebTables: exploring the power of tables on the web
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The query-flow graph: model and applications
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Beyond the session timeout: automatic hierarchical segmentation of search topics in query logs
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Learning latent semantic relations from clickthrough data for query suggestion
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Using structured text for large-scale attribute extraction
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Data & Knowledge Engineering
An Unsupervised Approach to Product Attribute Extraction
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Mining broad latent query aspects from search sessions
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Turing's dream and the knowledge challenge
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
The linguistic structure of English web-search queries
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
An analysis of knowledge collected from volunteer contributors
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Mining web query hierarchies from clickthrough data
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Decoding wikipedia categories for knowledge acquisition
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Open information extraction from the web
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
What you seek is what you get: extraction of class attributes from query logs
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Semi-supervised learning of attribute-value pairs from product descriptions
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Learning semantic categories from clickthrough logs
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
Entity extraction via ensemble semantics
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Automatic discovery of attribute words from web documents
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
Recent developments in information retrieval
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Per-instance attributes are acquired using a weakly supervised extraction method which exploits anonymized Web-search query sessions, as an alternative to isolated, individual queries. Examples of these attributes are top speed for chevrolet corvette, or population density for brazil). Inherent challenges associated with using sessions for attribute extraction, such as a large majority of within-session queries not being related to attributes, are overcome by using attributes globally extracted from isolated queries as an unsupervised filtering mechanism. In a head-to-head qualitative comparison, the ranked lists of attributes generated by merging attributes extracted from query sessions, on one hand, and from isolated queries, on another hand, are about 12% more accurate on average, than the attributes extracted from isolated queries by a previous method.