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» Supervised query modeling using wikipedia
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SIGIR
2009
ACM
14 years 1 months ago
Extracting structured information from user queries with semi-supervised conditional random fields
When search is against structured documents, it is beneficial to extract information from user queries in a format that is consistent with the backend data structure. As one step...
Xiao Li, Ye-Yi Wang, Alex Acero
IEAAIE
2011
Springer
12 years 11 months ago
Informative Sentence Retrieval for Domain Specific Terminologies
Domain specific terminologies represent important concepts when students study a subject. If the sentences which describe important concepts related to a terminology can be accesse...
Jia-Ling Koh, Chin-Wei Cho
CIKM
2009
Springer
14 years 2 months ago
Semi-supervised learning of semantic classes for query understanding: from the web and for the web
Understanding intents from search queries can improve a user’s search experience and boost a site’s advertising profits. Query tagging via statistical sequential labeling mode...
Ye-Yi Wang, Raphael Hoffmann, Xiao Li, Jakub Szyma...
SDM
2009
SIAM
129views Data Mining» more  SDM 2009»
14 years 4 months ago
Multi-topic Based Query-Oriented Summarization.
Query-oriented summarization aims at extracting an informative summary from a document collection for a given query. It is very useful to help users grasp the main information rel...
Dewei Chen, Jie Tang, Limin Yao
ML
2010
ACM
141views Machine Learning» more  ML 2010»
13 years 5 months ago
Relational retrieval using a combination of path-constrained random walks
Scientific literature with rich metadata can be represented as a labeled directed graph. This graph representation enables a number of scientific tasks such as ad hoc retrieval o...
Ni Lao, William W. Cohen