Rui Wang
ABSTRACT
We present a novel approach to RTE that exploits a structure-oriented sentence representation followed by a similarity function. The structural features are automatically acquired from tree skeletons that are extracted and generalized from dependency trees. Our method makes use of a limited size of training data without any external knowledge bases (e.g. WordNet) or handcrafted inference rules. We have achieved an accuracy of 71.1% on the RTE-3 development set performing a 10-fold cross validation and 66.9% on the RTE-3 test data.
- Bar-Haim, R., Dagan, I., Dolan, B., Ferro, L., Giampiccolo, D., Magnini, B. and Szpektor, I. 2006. The Second PASCAL Recognising Textual Entailment Challenge. In Proc. of the PASCAL RTE-2 Challenge.Google Scholar
- Bos, J. and Markert, K. 2005. Combining Shallow and Deep NLP Methods for Recognizing Textual Entailment. In Proc. of the PASCAL RTE Challenge.Google Scholar
- Bunescu, R. and Mooney, R. 2006. Subsequence Kernels for Relation Extraction. In Advances in Neural Information Processing Systems 18. MIT Press.Google Scholar
- Corley, C. and Mihalcea, R. 2005. Measuring the Semantic Similarity of Texts. In Proc. of the ACL Workshop on Empirical Modeling of Semantic Equivalence and Entailment. Google ScholarDigital Library
- Dagan, R., Glickman, O. 2004. Probabilistic textual entailment: Generic applied modelling of language variability. In PASCAL Workshop on Text Understanding and Mining.Google Scholar
- de Salvo Braz, R., Girju, R., Punyaka-nok, V., Roth, D., and Sammons, M. 2005. An Inference Model for Semantic Entailment in Natural Language. In Proc. of the PASCAL RTE Challenge. Google ScholarDigital Library
- Hickl, A., Williams, J., Bensley, J., Roberts, K., Rink, B. and Shi, Y. 2006. Recognizing Textual Entailment with LCC's GROUNDHOG System. In Proc. of the PASCAL RTE-2 Challenge.Google Scholar
- Klein, D. and Manning, C. 2003. Accurate Unlexicalized Parsing. In Proc. of ACL 2003. Google ScholarDigital Library
- Kouylekov, M. and Magnini, B. 2006. Tree Edit Distance for Recognizing Textual Entailment: Estimating the Cost of Insertion. In Proc. of the PASCAL RTE-2 Challenge.Google Scholar
- Lin, D. 1998. Dependency-based Evaluation of MINI-PAR. In Workshop on the Evaluation of Parsing Systems.Google Scholar
- Tatu, M., Iles, B., Slavik, J., Novischi, A. and Moldovan, D. 2006. COGEX at the Second Recognizing Textual Entailment Challenge. In Proc. of the PASCAL RTE-2 Challenge.Google Scholar
- Wang, R. and Neumann, G. 2007. Recognizing Textual Entailment Using a Subsequence Kernel Method. In Proc. of AAAI 2007. Google ScholarDigital Library
- Witten, I. H. and Frank, E. Weka: Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kaufmann, 1999. Google ScholarDigital Library
- Zanzotto, F. M. and Moschitti, A. 2006. Automatic Learning of Textual Entailments with Cross-pair Similarities. In Proc. of ACL 2006. Google ScholarDigital Library
Comments