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The Generation and Use of Layer Information in Multilayered Extended Semantic Networks

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Text, Speech and Dialogue (TSD 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2448))

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Abstract

The paradigm of Multilayered Extended Semantic Networks (MultiNet) is one of the most thoroughly described knowledge representantion systems along the line of semantic networks. The conceptual representation of MultiNet is characterized by embedding its nodes into a multidimensional space of layer attributes. These layer attributes play an important part during the syntactico-semantic analysis of natural language texts and during the inferential answer finding in question answering systems. The paper demonstrates the automatic generation of complex layer information for conceptual nodes and their use in the assimilation of knowledge pieces into a larger knowledge base.

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References

  1. Allgayer, J. and C. Reddig-Siekmann (1990). What KL-ONE lookalikes need to cope with natural language — scope and aspect of plural noun phrases. In Sorts and Types in Artificial Intelligence (edited by K. H. Bläsius, U. Hedtstück, and C.-R. Rollinger), pp. 240–285. Springer, Berlin, Germany.

    Chapter  Google Scholar 

  2. Brachman, R. J. (1978). Structured inheritance networks. Technical Report No. 3742, Bolt Beranek & Newman, Cambridge, Massachusetts.

    Google Scholar 

  3. Gnörlich, C. (2000). MultiNet/WR: A Knowledge Engineering Toolkit for Natural Language Information. Technical Report 278, FernUniversität Hagen, Germany.

    Google Scholar 

  4. Helbig, H. (1997). Der MESNET Primer — Die Darstellungsmittel der Mehrschichtigen Erweiterten Semantischen Netze. FernUniversität Hagen, Germany.

    Google Scholar 

  5. Helbig, H. (2001). Die semantische Struktur natürlicher Sprache: Wissensrepräsentation mit MultiNet. Springer, Berlin.

    Book  MATH  Google Scholar 

  6. Helbig, H., C. Gnörlich, and J. Leveling (2000). Natürlichsprachlicher Zugang zu Informationsanbietern im Internet und zu lokalen Datenbanken. In Sprachtechnologie für eine dynamische Wirtschaft im Medienzeitalter (edited by K.-D. Schmitz), pp. 79–94. TermNet, Wien.

    Google Scholar 

  7. Helbig, H. and S. Hartrumpf (1997). Word class functions for syntactic-semantic analysis. In Proceedings of the 2nd International Conference on Recent Advances in Natural Language Processing (RANLP’97), pp. 312–317. Tzigov Chark, Bulgaria.

    Google Scholar 

  8. Kamp, H. and U. Reyle (1993). From Discourse to Logic: Introduction to Modeltheoretic Semantics of Natural Language, Formal Logic and Discourse Representation Theory. Number 42 in Studies in Linguistics and Philosophy. Kluwer, Dordrecht.

    Google Scholar 

  9. Knoll, A., C. Altenschmidt, J. Biskup, H.-M. Blüthgen, I. Glöckner, S. Hartrumpf, H. Helbig, C. Henning, Y. Karabulut, R. Lüling, B. Monien, T. Noll, and N. Sensen (1998). An integrated approach to semantic evaluation and content-based retrieval of multimedia documents. In Proceedings of the 2nd European Conference on Digital Libraries (ECDL’ 98) (edited by C. Nikolaou and C. Stephanidis), number 1513 in Lecture Notes in Computer Science, pp. 409–428. Springer, Berlin.

    Google Scholar 

  10. Leveling, J. and H. Helbig (2002). A robust natural language interface for access to bibliographic databases. In Proceedings of the 6th World Multiconference on Systemics, Cybernetics and Informatics (SCI 2002). International Institute of Informatics and Systemics (IIIS), Orlando, Florida.

    Google Scholar 

  11. Peltason, C. (1991). The BACK system — An overview. SIGART Bulletin, 2(3):114–119.

    Article  Google Scholar 

  12. Quillian, M. R. (1968). Semantic memory. In Semantic Information Processing (edited by M. Minsky), pp. 227–270. MIT Press, Cambridge, Massachusetts.

    Google Scholar 

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© 2002 Springer-Verlag Berlin Heidelberg

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Hartrumpf, S., Helbig, H. (2002). The Generation and Use of Layer Information in Multilayered Extended Semantic Networks. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2002. Lecture Notes in Computer Science(), vol 2448. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46154-X_12

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  • DOI: https://doi.org/10.1007/3-540-46154-X_12

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44129-8

  • Online ISBN: 978-3-540-46154-8

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