An inference model for semantic entailment in natural language
作者： Rodrigo de Salvo Braz , Roxana Girju , Vasin Punyakanok , Dan Roth , Mark Sammons
DOI: 10.1007/11736790_15
关键词:
摘要: Semantic entailment is the problem of determining if meaning a given sentence entails that another. This fundamental in natural language understanding provides broad framework for studying variability and has large number applications. paper presents principled approach to this builds on inducing representations text snippets into hierarchical knowledge representation along with sound optimization-based inferential mechanism makes use it decide semantic entailment. A preliminary evaluation PASCAL collection presented.
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