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Li et al., 2009 - Google Patents

Extracting structured information from user queries with semi-supervised conditional random fields

Li et al., 2009

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Document ID
9825966349933699557
Author
Li X
Wang Y
Acero A
Publication year
Publication venue
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval

External Links

Snippet

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 toward this goal, we study the problem of query tagging which is to assign each query term to a pre …
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Classifications

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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
    • G06F17/30657—Query processing
    • G06F17/30675—Query execution
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