Abstract
The development of a syntactic textual entailment system that compares the dependency relations in both the text and the hypothesis has been reported. The Stanford Dependency Parser has been run on the 2-way RTE-3 development set and the dependency relations obtained for a text and hypothesis pair has been compared. Some of the important comparisons are: subject-subject comparison, subject-verb comparison, object-verb comparison and cross subject-verb comparison. Corresponding verbs are further compared using the WordNet. Each of the matches is assigned some weight learnt from the development corpus. A threshold has been set on the fraction of matching hypothesis relations based on the development set. The threshold score has been applied on the RTE-4 gold standard test set using the same methods of dependency parsing followed by comparisons. Evaluation scores obtained on the test set show 54.75% precision and 53% recall for YES decisions and 54.45% precision and 56.2% recall for NO decisions.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Dagan, I., Glickman, O., Magnini, B.: The PASCAL Recognising Textual Entailment Challenge. In: Proceedings of the First PASCAL Recognizing Textual Entailment Workshop (2005)
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, Venice, Italy (2006)
Voorhees, E.M., Harman, D.: Overview of the seventh text retrieval conference. In: Proceedings of the Seventh Text REtrieval Conference (TREC-7). NIST Special Publication (1999)
Giampiccolo, D., Dang, H.T., Magnini, B., Dagan, I., Cabrio, E.: The Fourth PASCAL Recognizing Textual Entailment Challenge. In: TAC 2008 Proceedings (2008), http://www.nist.gov/tac/publications/2008/papers.html
Vanderwende, L., Coughlin, D., Dolan, B.: What syntax can contribute in entailment task. In: Proceedings of the First PASCAL Recognizing Textual Entailment Workshop, pp. 13–16 (2005)
Herrera, J., Peñas, A., Verdejo, F.: Textual Entailment Recognition Based on Dependency Analysis and WordNet. In: Proceedings of the First PASCAL Recognizing Textual Entailment Workshop, pp. 21–24 (2005)
Kouylekov, M., Magnini, B.: Tree Edit Distance for Recognizing Textual Entailment: Estimating the Cost of Insertion. In: Proc. of the PASCAL RTE-2 Challenge, pp. 68–73 (2006)
Blake, C.: The Role of Sentence Structure in Recognizing Textual Entailment. In: Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing, pp. 101–106 (2007)
Wang, R., Neumann, G.: Recognizing Textual Entailment Using Sentence Similarity based on Dependency Tree Skeletons. In: Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing, pp. 36–41 (2007)
Varma, V., Krishna, S., Garapati, H., Reddy, K., Pingali, P., Ganesh, S., Gopisetty, H., Bysani, P., Katragadda, R., Sarvabhotla, K., Reddy, V.B., Bharadwaj, R.: Recognizing Textual Entailment (RTE) Track. In: Text analysis conference 2008 Proceedings (2008)
Klein, D., Manning, C.D.: Accurate unlexicalized parsing. In: ACL 2003, pp. 423–430 (2003)
Fellbaum, C.: WordNet: An Electronic Lexical Database. MIT Press, Cambridge (1998)
RiWordnet API Tool, http://www.rednoise.org/rita/wordnet/documentation/index.htm
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Pakray, P., Gelbukh, A., Bandyopadhyay, S. (2010). A Syntactic Textual Entailment System Based on Dependency Parser. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2010. Lecture Notes in Computer Science, vol 6008. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12116-6_22
Download citation
DOI: https://doi.org/10.1007/978-3-642-12116-6_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12115-9
Online ISBN: 978-3-642-12116-6
eBook Packages: Computer ScienceComputer Science (R0)