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Abductive reasoning with a large knowledge base for discourse processing

Published: 12 January 2011 Publication History

Abstract

This paper presents a discourse processing framework based on weighted abduction. We elaborate on ideas described in Hobbs et al. (1993) and implement the abductive inference procedure in a system called Mini-TACITUS. Particular attention is paid to constructing a large and reliable knowledge base for supporting inferences. For this purpose we exploit such lexical-semantic resources as WordNet and FrameNet. We test the proposed procedure and the obtained knowledge base on the Recognizing Textual Entailment task using the data sets from the RTE-2 challenge for evaluation. In addition, we provide an evaluation of the semantic role labeling produced by the system taking the Frame-Annotated Corpus for Textual Entailment as a gold standard.

References

[1]
Bar-Haim, R., I. Dagan, B. Dolan, L. Ferro, D. Giampiccolo, B. Magnini, and I. Szpektor (2006). The second PASCAL recognising textual entailment challenge. In Proc. of the Second PASCAL Challenges Workshop on Recognising Textual Entailment.
[2]
Burchardt, A., K. Erk, and A. Frank (2005). A WordNet Detour to FrameNet. In Sprachtechnologie, mobile Kommunikation und linguistische Resourcen, Volume 8.
[3]
Burchardt, A. and M. Pennacchiotti (2008). FATE: a FrameNet-Annotated Corpus for Textual Entailment. In Proc. of LREC'08.
[4]
Burchardt, A., M. Pennacchiotti, S. Thater, and M. Pinkal (2009). Assessing the impact of frame semantics on textual entailment. Natural Language Engineering 15(4), 527--550.
[5]
Erk, K. and S. Pado (2006). Shalmaneser - a flexible toolbox for semantic role assignment. In Proc. of LREC'06, Genoa, Italy.
[6]
Fellbaum, C. (Ed.) (1998). WordNet: An Electronic Lexical Database (First ed.). MIT Press.
[7]
Garoufi, K. (2007). Towards a better understanding of applied textual entailment: Annotation and evaluation of the rte-2 dataset. Master's thesis, Saarland University.
[8]
Hobbs, J. R. (1985). Ontological promiscuity. In Proceedings, 23rd Annual Meeting of the Association for Computational Linguistics, Chicago, Illinois, pp. 61--69.
[9]
Hobbs, J. R., M. Stickel, and P. Martin (1993). Interpretation as abduction. Artificial Intelligence 63, 69--142.
[10]
McCord, M. C. (1990). Slot grammar: A system for simpler construction of practical natural language grammars. In Natural Language and Logic: International Scientific Symposium, Lecture Notes in Computer Science, pp. 118--145. Springer Verlag.
[11]
McCord, M. C. (2010). Using Slot Grammar. Technical report, IBM T. J. Watson Research Center. RC 23978Revised.
[12]
Mehdad, Y., A. Moschitti, and F. M. Zanzotto (2010). Syntactic/semantic structures for textual entailment recognition. In Proc. of HLT '10: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pp. 1020--1028.
[13]
Mulkar, R., J. R. Hobbs, and E. Hovy (2007). Learning from Reading Syntactically Complex Biology Texts. In Proc. of the 8th International Symposium on Logical Formalizations of Commonsense Reasoning. Palo Alto.
[14]
Ovchinnikova, E., L. Vieu, A. Oltramari, S. Borgo, and T. Alexandrov (2010). Data-Driven and Ontological Analysis of FrameNet for Natural Language Reasoning. In Proc. of LREC'10, Valletta, Malta.
[15]
Ruppenhofer, J., M. Ellsworth, M. Petruck, C. Johnson, and J. Scheffczyk (2006). FrameNet II: Extended Theory and Practice. International Computer Science Institute.
[16]
Shen, D. and M. Lapata (2007). Using Semantic Roles to Improve Question Answering. In Proc. of EMNLP-CoNLL, pp. 12--21.
[17]
Stickel, M. E. (1988). A prolog technology theorem prover: Implementation by an extended prolog compiler. Journal of Automated Reasoning 4(4), 353--380.

Cited By

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  • (2013)Discriminative learning of first-order weighted abduction from partial discourse explanationsProceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I10.1007/978-3-642-37247-6_44(545-558)Online publication date: 24-Mar-2013
  • (2012)Leveraging Diverse Lexical Resources for Textual Entailment RecognitionACM Transactions on Asian Language Information Processing10.1145/2382593.238260011:4(1-22)Online publication date: 1-Dec-2012
  • (2012)Large-Scale cost-based abduction in full-fledged first-order predicate logic with cutting plane inferenceProceedings of the 13th European conference on Logics in Artificial Intelligence10.1007/978-3-642-33353-8_22(281-293)Online publication date: 26-Sep-2012
  • Show More Cited By

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cover image DL Hosted proceedings
IWCS '11: Proceedings of the Ninth International Conference on Computational Semantics
January 2011
408 pages

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Association for Computational Linguistics

United States

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Published: 12 January 2011

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  • (2013)Discriminative learning of first-order weighted abduction from partial discourse explanationsProceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I10.1007/978-3-642-37247-6_44(545-558)Online publication date: 24-Mar-2013
  • (2012)Leveraging Diverse Lexical Resources for Textual Entailment RecognitionACM Transactions on Asian Language Information Processing10.1145/2382593.238260011:4(1-22)Online publication date: 1-Dec-2012
  • (2012)Large-Scale cost-based abduction in full-fledged first-order predicate logic with cutting plane inferenceProceedings of the 13th European conference on Logics in Artificial Intelligence10.1007/978-3-642-33353-8_22(281-293)Online publication date: 26-Sep-2012
  • (2012)Abduction in games for a flexible approach to discourse planningProceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part II10.1007/978-3-642-28601-8_2(13-24)Online publication date: 11-Mar-2012
  • (2011)Elaborating a knowledge base for deep lexical semanticsProceedings of the Ninth International Conference on Computational Semantics10.5555/2002669.2002690(195-204)Online publication date: 12-Jan-2011
  • (2011)Implementing weighted abduction in Markov logicProceedings of the Ninth International Conference on Computational Semantics10.5555/2002669.2002676(55-64)Online publication date: 12-Jan-2011

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