---
title: "An Inference Model for Semantic Entailment in Natural Language"
authors:
  - "Rodrigo de Salvo Braz"
  - "Roxana Girju"
  - "Vasin Punyakanok"
  - "Dan Roth"
  - "Mark Sammons"
doi: ""
url: "https://ijcai.org/proceedings/2005/350"
pdf: "https://ijcai.org/proceedings/2005/0350.pdf"
venue: "Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence"
year: 2005
pages: "1678-1678"
track: ""
keywords:
---

# An Inference Model for Semantic Entailment in Natural Language

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

*Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence*, pages 1678-1678.

## 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.