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Description Logics for Natural Language Processing

MPG-Autoren
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Fehrer,  Detlef
Programming Logics, MPI for Informatics, Max Planck Society;

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Hustadt,  Ullrich
Programming Logics, MPI for Informatics, Max Planck Society;

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Jaeger,  Manfred
Programming Logics, MPI for Informatics, Max Planck Society;

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Nonnengart,  Andreas
Programming Logics, MPI for Informatics, Max Planck Society;

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Ohlbach,  Hans Jürgen
Programming Logics, MPI for Informatics, Max Planck Society;

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Schmidt,  Renate A.
Programming Logics, MPI for Informatics, Max Planck Society;

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Weidenbach,  Christoph       
Automation of Logic, MPI for Informatics, Max Planck Society;
Programming Logics, MPI for Informatics, Max Planck Society;

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Weydert,  Emil
Programming Logics, MPI for Informatics, Max Planck Society;

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Zitation

Fehrer, D., Hustadt, U., Jaeger, M., Nonnengart, A., Ohlbach, H. J., Schmidt, R. A., et al. (1994). Description Logics for Natural Language Processing. In F. Baader, M. Lenzerini, W. Nutt, & P. F. Patel-Schneider (Eds.), International Workshop on Description Logics (pp. 79-83). Saarbrücken, Germany: DFKI.


Zitierlink: https://hdl.handle.net/11858/00-001M-0000-0014-AD73-8
Zusammenfassung
In this paper we focus on the application of description logics to natural
language processing. In cooperation with the {\sc pracma} project we have been
developing a suitably extended knowledge representation system, called {\sc
motel}. In our approach to agent modelling and natural language processing we
use an extension of the well-known description language $\cal ALC$. Our system
{\sc motel}\ serves on one hand as a knowledge base for the natural language
front-end, and on the other hand, it provides powerful {\em logical\/}
representation and reasoning components. As our approach is logic based we hope
that this enhances the overall capabilities of the natural language processing
(NLP) system. We present a brief overview of {\sc motel} and the different
extensions we are working on, i.e.\ modal extension of description logics, a
cardinality-based approach to quantitative information, reason maintenance,
probablistic, non-monotonic, and abductive reasoning.