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Combining Logic and Machine Learning for Answering Questions

  • Ingo Glöckner
  • Björn Pelzer
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5706)

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.

Keywords

Noun Phrase Relative Clause Word Sense Question Answering Training Item 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Ingo Glöckner
    • 1
  • Björn Pelzer
    • 2
  1. 1.Intelligent Information and Communication Systems Group (IICS)University of HagenHagenGermany
  2. 2.Department of Computer Science, Artificial Intelligence Research GroupUniversity of Koblenz-LandauKoblenz

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