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 journalConference article

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 languageEnglish (US)
Pages (from-to)1678-1679
Number of pages2
JournalIJCAI International Joint Conference on Artificial Intelligence
StatePublished - Dec 1 2005
Event19th International Joint Conference on Artificial Intelligence, IJCAI 2005 - Edinburgh, United Kingdom
Duration: Jul 30 2005Aug 5 2005

    Fingerprint

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this