Abstract
LogAnswer is a logic-oriented question answering system developed by the AI research group at the University of Koblenz-Landau and by the IICS at the University of Hagen. The system addresses two notorious problems of the logic-based approach: Achieving robustness and acceptable response times. Its main innovation is the use of logic for simultaneously extracting answer bindings and validating the corresponding answers. In this way the inefficiency of the classical answer extraction/answer validation pipeline is avoided. The prototype of the system, which can be tested on the web, demonstrates response times suitable for real-time querying. Robustness to gaps in the background knowledge and errors of linguistic analysis is achieved by combining the optimized deductive subsystem with shallow techniques by machine learning.
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References
Hartrumpf, S.: Hybrid Disambiguation in Natural Language Analysis. Der Andere Verlag, Osnabrück (2003)
Helbig, H.: Knowledge Representation and the Semantics of Natural Language. Springer, Heidelberg (2006)
Glöckner, I.: University of Hagen at QA@CLEF 2008: Answer validation exercise. In: Working notes for the CLEF 2008 workshop, Århus, Denmark (2008)
Glöckner, I., Pelzer, B.: Exploring robustness enhancements for logic-based passage filtering. In: Lovrek, I., Howlett, R.J., Jain, L.C. (eds.) KES 2008, Part I. LNCS (LNAI), vol. 5177, pp. 606–614. Springer, Heidelberg (2008)
Witten, I.H., Frank, E.: Data Mining. Practical Machine Learning Tools and Techniques. Morgan Kaufmann, San Francisco (2005)
Glöckner, I.: University of Hagen at QA@CLEF 2007: Answer validation exercise. In: Working Notes for the CLEF 2007 Workshop, Budapest (2007)
Glöckner, I.: Towards logic-based question answering under time constraints. In: Proc. of ICAIA 2008, Hong Kong, pp. 13–18 (2008)
Pelzer, B., Wernhard, C.: System Description: E-KRHyper. In: Pfenning, F. (ed.) CADE 2007. LNCS (LNAI), vol. 4603, pp. 508–513. Springer, Heidelberg (2007)
Baumgartner, P., Furbach, U., Pelzer, B.: Hyper Tableaux with Equality. In: Pfenning, F. (ed.) CADE 2007. LNCS (LNAI), vol. 4603, pp. 492–507. Springer, Heidelberg (2007)
Baumgartner, P., Furbach, U., Niemelä, I.: Hyper Tableaux. In: JELIA 1996, Proceedings, pp. 1–17 (1996)
Sutcliffe, G., Suttner, C.: The TPTP Problem Library: CNF Release v1.2.1. Journal of Automated Reasoning 21(2), 177–203 (1998)
Pelzer, B., Glöckner, I.: Combining theorem proving with natural language processing. In: Proc. of the First Int. Workshop on Practical Aspects of Automated Reasoning (PAAR 2008), CEUR Workshop Proceedings, pp. 71–80 (2008)
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Glöckner, I., Pelzer, B. (2009). Combining Logic and Machine Learning for Answering Questions. 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_47
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DOI: https://doi.org/10.1007/978-3-642-04447-2_47
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