Abstract
This paper proposes an integration of Recognizing Textual Entailment (RTE) with other additional information to deal with the Answer Validation task. The additional information used in our participation in the Answer Validation Exercise (AVE 2008) is from named-entity (NE) recognizer, question analysis component, etc. We have submitted two runs, one run for English and the other for German, achieving f-measures of 0.64 and 0.61 respectively. Compared with our system last year, which purely depends on the output of the RTE system, the extra information does show its effectiveness.
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References
Bar-Haim, R., Dagan, I., Dolan, B., Ferro, L., Giampiccolo, D., Magnini, B., Szpektor, I.: The Second PASCAL Recognising Textual Entailment Challenge. In: Proceedings of the Second PASCAL Challenges Workshop on Recognising Textual Entailment (2006)
Bunescu, R., Mooney, R.: Subsequence Kernels for Relation Extraction. In: Advances in Neural Information Processing Systems, vol. 18. MIT Press, Cambridge (2006)
Dagan, I., Glickman, O., Magnini, B.: The PASCAL Recognising Textual Entailment Challenge. In: Quiñonero-Candela, J., Dagan, I., Magnini, B., d’Alché-Buc, F. (eds.) MLCW 2005. LNCS (LNAI), vol. 3944, pp. 177–190. Springer, Heidelberg (2006)
Finkel, J.R., Grenager, T., Manning, C.: Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling. In: Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics, ACL 2005 (2005)
Giampiccolo, D., Magnini, B., Dagan, I., Dolan, B.: The Third PASCAL Recognizing Textual Entailment Challenge. In: Proceedings of the Workshop on Textual Entailment and Paraphrasing, Prague, June 2007, pp. 1–9 (2007)
Gildea, D., Palmer, M.: The Necessity of Parsing for Predicate Argument Recognition. In: Proceedings of the 40th Meeting of the Association for Computational Linguistics (ACL 2002), Philadelphia, PA, pp. 239–246 (2002)
Lin, D.: Dependency-based Evaluation of MINIPAR. In Workshop on the Evaluation of Parsing Systems (1998)
Neumann, G., Piskorski, J.: A Shallow Text Processing Core Engine. Journal of Computational Intelligence 18(3), 451–476 (2002)
Peñas, A., Rodrigo, Á., Verdejo, F.: Overview of the Answer Validation Exercise 2007. In: The CLEF 2007 Working Notes (2007)
Wang, R., Neumann, G.: Recognizing Textual Entailment Using a Subsequence Kernel Method. In: Proc. of AAAI 2007 (2007a)
Wang, R., Neumann, G.: Recognizing Textual Entailment Using Sentence Similarity based on Dependency Tree Skeletons. In: Proceedings of the Workshop on Textual Entailment and Paraphrasing, Prague, June 2007, pp. 36–41 (2007b)
Wang, R., Neumann, G.: DFKI–LT at AVE 2007: Using Recognizing Textual Entailment for Answer Validation. In: Online Proceedings of CLEF 2007 Working Notes, Budapest, Hungary, September 2007 (2007c) ISBN: 2-912335-31-0
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Wang, R., Neumann, G. (2009). Information Synthesis for Answer Validation. In: Peters, C., et al. Evaluating Systems for Multilingual and Multimodal Information Access. CLEF 2008. Lecture Notes in Computer Science, vol 5706. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04447-2_57
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DOI: https://doi.org/10.1007/978-3-642-04447-2_57
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04446-5
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