什么是 Textual Entailment.

文本蕴含识别是一项推断任务,旨在判断给定文本T1的信息是否能从另一文本T2中推导出来。面对自然语言表达同一信息的多样性,该任务对于诸如问答系统、信息检索等应用至关重要。本文探讨了一种实验方法:将词汇信息编码为描述逻辑本体,并使用逻辑推理来计算结果。

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http://jeudi.inrialpes.fr/2007/Raweb/talaris/uid25.html

In essence, the textual entailment recognition task is an inference task, namely deciding whether the information contained in a given text T1can be inferred from the information provided by another text T2.

It is crucial to be able to answer this question. One important characteristic of natural language is the large number of ways in which it can express the same information. Many natural language processing applications like question answering, information retrieval, generation, and anaphora resolution need to deal with this diversity efficiently and accurately, and recognising textual entailments is a key step towards this.

Textual entailment recognition is a difficult task. The approach we are experimenting with is to encode lexical information as a description logic ontology (or a hybrid logic theory) and then to use logical inference to compute the result.

 http://jeudi.inrialpes.fr/2007/Raweb/talaris/uid25.html

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