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.
CITATION STYLE
De Salvo Braz, R., Girju, R., Punyakanok, V., Roth, D., & Sammons, M. (2005). An inference model for semantic entailment in natural language. In IJCAI International Joint Conference on Artificial Intelligence (pp. 1678–1679). https://doi.org/10.1007/11736790_15
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