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Fried et al., 2015 - Google Patents

Higher-order lexical semantic models for non-factoid answer reranking

Fried et al., 2015

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Document ID
13622850278902923888
Author
Fried D
Jansen P
Hahn-Powell G
Surdeanu M
Clark P
Publication year
Publication venue
Transactions of the Association for Computational Linguistics

External Links

Snippet

Lexical semantic models provide robust performance for question answering, but, in general, can only capitalize on direct evidence seen during training. For example, monolingual alignment models acquire term alignment probabilities from semi-structured …
Continue reading at direct.mit.edu (PDF) (other versions)

Classifications

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    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • 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
    • G06F17/30684—Query execution using natural language analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
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