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SPARTE, a Test Suite for Recognising Textual Entailment in Spanish

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3878)

Abstract

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.

Keywords

Test Suite News Article Question Answering Answer Validation Question Answering System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  1. 1.Dpto. Lenguajes y Sistemas InformáticosUNED 

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