An inference model for semantic entailment in natural language

Rodrigo De Salvo Braz; Roxana Girju; Vasin Punyakanok; Dan Roth; Mark Sammons

An inference model for semantic entailment in natural language

Rodrigo De Salvo Braz, Roxana Girju, Vasin Punyakanok, Dan Roth, Mark Sammons

Research output: Contribution to journal › Conference article › peer-review

Abstract

Semantic entailment is the problem of determining if the meaning of a given sentence entails that of another. This is a fundamental problem in natural language understanding that provides a broad framework for studying language variability and has a large number of applications. We present a principled approach to this problem that builds on inducing re-representations of text snippets into a hierarchical knowledge representation along with a sound inferential mechanism that makes use of it to prove semantic entailment.

Original language	English (US)
Pages (from-to)	1678-1679
Number of pages	2
Journal	IJCAI International Joint Conference on Artificial Intelligence
State	Published - 2005
Event	19th International Joint Conference on Artificial Intelligence, IJCAI 2005 - Edinburgh, United Kingdom Duration: Jul 30 2005 → Aug 5 2005

ASJC Scopus subject areas

Artificial Intelligence

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abstract = "Semantic entailment is the problem of determining if the meaning of a given sentence entails that of another. This is a fundamental problem in natural language understanding that provides a broad framework for studying language variability and has a large number of applications. We present a principled approach to this problem that builds on inducing re-representations of text snippets into a hierarchical knowledge representation along with a sound inferential mechanism that makes use of it to prove semantic entailment.",

author = "{De Salvo Braz}, Rodrigo and Roxana Girju and Vasin Punyakanok and Dan Roth and Mark Sammons",

year = "2005",

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journal = "IJCAI International Joint Conference on Artificial Intelligence",

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note = "19th International Joint Conference on Artificial Intelligence, IJCAI 2005 ; Conference date: 30-07-2005 Through 05-08-2005",

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T1 - An inference model for semantic entailment in natural language

AU - De Salvo Braz, Rodrigo

AU - Girju, Roxana

AU - Punyakanok, Vasin

AU - Roth, Dan

AU - Sammons, Mark

PY - 2005

Y1 - 2005

N2 - Semantic entailment is the problem of determining if the meaning of a given sentence entails that of another. This is a fundamental problem in natural language understanding that provides a broad framework for studying language variability and has a large number of applications. We present a principled approach to this problem that builds on inducing re-representations of text snippets into a hierarchical knowledge representation along with a sound inferential mechanism that makes use of it to prove semantic entailment.

AB - Semantic entailment is the problem of determining if the meaning of a given sentence entails that of another. This is a fundamental problem in natural language understanding that provides a broad framework for studying language variability and has a large number of applications. We present a principled approach to this problem that builds on inducing re-representations of text snippets into a hierarchical knowledge representation along with a sound inferential mechanism that makes use of it to prove semantic entailment.

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M3 - Conference article

AN - SCOPUS:84880731808

SN - 1045-0823

SP - 1678

EP - 1679

JO - IJCAI International Joint Conference on Artificial Intelligence

JF - IJCAI International Joint Conference on Artificial Intelligence

T2 - 19th International Joint Conference on Artificial Intelligence, IJCAI 2005

Y2 - 30 July 2005 through 5 August 2005

ER -

An inference model for semantic entailment in natural language

Abstract

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