A knowledge-based textual entailment approach applied to the AVE task

Authors:
Ó. Ferrández;R. M. Terol;R. Muñoz;P. Martínez-Barco;M. Palomar
Affiliations:
Natural Language Processing and Information Systems Group, Department of Software and Computing Systems, University of Alicante, Spain;Natural Language Processing and Information Systems Group, Department of Software and Computing Systems, University of Alicante, Spain;Natural Language Processing and Information Systems Group, Department of Software and Computing Systems, University of Alicante, Spain;Natural Language Processing and Information Systems Group, Department of Software and Computing Systems, University of Alicante, Spain;Natural Language Processing and Information Systems Group, Department of Software and Computing Systems, University of Alicante, Spain
Venue:
CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
Year:
2006

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Abstract

We propose a system that has been initially used for Recognising Textual Entailment (RTE). Due to the fact that these two tasks (AVE and RTE) rely on the same main idea, our system was considered appropriate to be applied to AVE. Our system represents texts by means of logic forms and computes the semantic similarity between them. We have also designed a voting strategy between our system and the MLEnt system also developed at the University of Alicante. Although the results have not been very high, we consider them quite promising.