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Pakray et al., 2011 - Google Patents

Textual entailment using lexical and syntactic similarity

Pakray et al., 2011

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Document ID
10125761298978441759
Author
Pakray P
Bandyopadhyay S
Gelbukh A
Publication year
Publication venue
International Journal of Artificial Intelligence and Applications

External Links

Snippet

ABSTRACT A two-way Textual Entailment (TE) recognition system that uses lexical and syntactic features has been described in this paper. The TE system is rule based that uses lexical and syntactic similarities. The important lexical similarity features that are used in the …
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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
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    • G06F17/271—Syntactic parsing, e.g. based on context-free grammar [CFG], unification grammars
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    • G06F17/20—Handling natural language data
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    • G06F17/274—Grammatical analysis; Style critique
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
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