Abstract
In this paper we present an Answer Validation System which is based on the combination of word overlap and Latent Semantic Indexing modules. The main contribution of our work consist in the adaptation of our already developed machine-learning textual entailment system MLEnt to the multilingual Answer Validation exercise.
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References
Dagan, I., Glickman, O.: Probabilistic textual entailment: Generic applied modeling of language variability. In: Proceedings of the PASCAL workshop on Text Understanding and Mining
Kozareva, Z., Montoyo, A.: Mlent: The machine learning entailment system of the university of alicante. In: Proceedings of the PASCAL Challenges Workshop on Recognising Textual Entailment (2006)
Kozareva, Z., Vazquez, S., Montoyo, A.: Adaptation of a machine-learning textual entailment system to a multilingual answer validation exercise. In: Working Notes of CLEF 2006 (2006), ISBN 2-912335-21-3
Kozareva, Z., Vázquez, S., Montoyo, A.: The effect of semantic knowledge expansion to textual entailment recognition. In: TSD, pp. 143–150 (2006)
Peñas, A., Rodrigo, A., Verdejo, F.: Sparte, a test suite for recognising textual entailment in spanish. In: Proceedings of CICLing (2006)
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© 2007 Springer-Verlag Berlin Heidelberg
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Kozareva, Z., Vázquez, S., Montoyo, A. (2007). University of Alicante at QA@CLEF2006: Answer Validation Exercise. In: Peters, C., et al. Evaluation of Multilingual and Multi-modal Information Retrieval. CLEF 2006. Lecture Notes in Computer Science, vol 4730. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74999-8_63
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DOI: https://doi.org/10.1007/978-3-540-74999-8_63
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74998-1
Online ISBN: 978-3-540-74999-8
eBook Packages: Computer ScienceComputer Science (R0)