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SPARTE, a Test Suite for Recognising Textual Entailment in Spanish

机译:SPARTE,用于识别西班牙语文本蕴含的测试套件

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摘要

The aim of Recognising Textual Entailment (RTE) is to determine whether the meaning of a text entails the meaning of another text named hypothesis. RTE systems can be applied to validate the answers of Question Answering (QA) systems. Once the answer to a question is given by the QA system, a hypothesis is built turning the question plus the answer into an affirmative form. If the text (a given document) entails this hypothesis, then the answer is expected to be correct. Thus, a RTE system becomes an Answer Validation system. Within this framework the first problem is to find collections for training and testing RTE systems. We present here the SPARTE corpus aimed at evaluating RTE systems in Spanish. The paper presents the methodology to build SPARTE from the Spanish QA assessments performed at the Cross-Language Evaluation Forum (CLEF) during the last three editions. The paper also describes the test suite and discusses the appropriate evaluation measures together with their baselines.
机译:识别文本蕴含(RTE)的目的是确定某个文本的含义是否包含另一个名为“假设”的文本的含义。 RTE系统可以用于验证问题解答(QA)系统的答案。 QA系统给出问题的答案后,就会建立一个假设,将问题和答案转换为肯定形式。如果文本(给定的文档)包含此假设,则预期答案是正确的。因此,RTE系统成为答案验证系统。在此框架内,第一个问题是找到用于培训和测试RTE系统的集合。我们在这里介绍旨在评估西班牙语RTE系统的SPARTE语料库。本文介绍了根据最近三个版本在跨语言评估论坛(CLEF)上进行的西班牙质量检查评估构建SPARTE的方法。本文还描述了测试套件,并讨论了适当的评估措施及其基准。

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