Abstract
This paper discusses the recognition of textual entailment in a text-hypothesis pair by applying a wide variety of lexical measures. We consider that the entailment phenomenon can be tackled from three general levels: lexical, syntactic and semantic. The main goals of this research are to deal with this phenomenon from a lexical point of view, and achieve high results considering only such kind of knowledge. To accomplish this, the information provided by the lexical measures is used as a set of features for a Support Vector Machine which will decide if the entailment relation is produced. A study of the most relevant features and a comparison with the best state-of-the-art textual entailment systems is exposed throughout the paper. Finally, the system has been evaluated using the Second PASCAL Recognising Textual Entailment Challenge data and evaluation methodology, obtaining an accuracy rate of 61.88%.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Adams, R.: Textual Entailment Through Extended Lexical Overlap. In: Proceedings of the Second PASCAL Challenges Workshop on Recognising Textual Entailment, pp. 128–133, Venice, Italy (April 2006)
Bar-Haim, R., Szpecktor, I., Glickman, O.: Definition and analysis of intermediate entailment levels. In: Proceedings of the ACL Workshop on Empirical Modeling of Semantic Equivalence and Entailment, pp. 55–60, Ann Arbor, Michigan (June 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, pp. 1–9 (April 2006)
Bos, J., Marker, K.: When logical inference helps determining textual entailment (and when it doesn’t). In: Proceedings of the Second PASCAL Challenges Workshop on Recognising Textual Entailment, pp. 98–103, Venice, Italy (April 2006)
Clarke, D.: Meaning as Context and Subsequence Analysis for Entailment. In: Proceedings of the Second PASCAL Challenges Workshop on Recognising Textual Entailment, pp. 134–139 (April 2006)
Dagan, I., Glickman, O., Magnini, B.: The PASCAL Recognising Textual Entailment Challenge. In: Proceedings of the PASCAL Challenges Workshop on Recognising Textual Entailment, pp. 1–8, Southampton, UK (April 2005)
Hickl, A., Bensley, J., Williams, J., Roberts, K., Rink, B., Shi, Y.: Recognizing Textual Entailment with LCC’s GROUNDHOG System. In: Proceedings of the Second PASCAL Challenges Workshop on Recognising Textual Entailment, pp. 80–85, Venice, Italy (April 2006)
Kouylekov, M., Magnini, B.: Tree Edit Distance for Recognizing Textual Entailment: Estimating the Cost of Insertion. In: Proceedings of the Second PASCAL Challenges Workshop on Recognising Textual Entailment, pp. 68–73, Venice, Italy (April 2006)
Lin, C.-Y.: ROUGE: A Package for Automatic Evaluation of Summaries. In: Moens, S.S.M.-F. (ed.) Text Summarization Branches Out: Proceedings of the ACL-04 Workshop, pp. 74–81, Barcelona, Spain, Association for Computational Linguistics (July 2004)
Lin, C.-Y., Och, F.J.: Automatic Evaluation of Machine Translation Quality Using Longest Common Subsequence and Skip-Bigram Statistics. In: ACL, pp. 605–612 (2004)
Ferrández, Ó., Terol, R.M.: Muñoz, R., Martínez-Barco, P., Palomar, M.: An approach based on Logic forms and wordnet relationships to textual entailment performance. In: Proceedings of the Second PASCAL Challenges Workshop on Recognising Textual Entailment, pp. 22–26, Venice, Italy (April 2006)
Pérez, D., Alfonseca, E.: Application of the Bleu algorithm for recognising textual entailments. In: Proceedings of the PASCAL Challenges Workshop on Recognising Textual Entailment, pp. 9–12, Southampton, UK (April 2005)
Tatu, M., Iles, B., Slavick, J., Novischi, A., Moldovan, D.: COGEX at the Second Recognizing Textual Entailment Challenge. In: Proceedings of the Second PASCAL Challenges Workshop on Recognising Textual Entailment, pp. 104–109, Venice, Italy (April 2006)
Witten, I.H., Frank, E.: Data Mining: Practical machine learning tools and techniques, 2nd edn. Morgan Kaufmann, San Francisco (2005)
Zanzotto, F.M., Moschitti, A., Pennacchiotti, M., Pazienza, M.T.: Learning textual entailment from examples. In: Proceedings of the Second PASCAL Challenges Workshop on Recognising Textual Entailment, pp. 50–55, Venice, Italy (April 2006)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ferrández, Ó., Micol, D., Muñoz, R., Palomar, M. (2007). DLSITE-1: Lexical Analysis for Solving Textual Entailment Recognition. In: Kedad, Z., Lammari, N., Métais, E., Meziane, F., Rezgui, Y. (eds) Natural Language Processing and Information Systems. NLDB 2007. Lecture Notes in Computer Science, vol 4592. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73351-5_25
Download citation
DOI: https://doi.org/10.1007/978-3-540-73351-5_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73350-8
Online ISBN: 978-3-540-73351-5
eBook Packages: Computer ScienceComputer Science (R0)