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A Connectionist Approach to Content Access in Documents: Application to Detection of Jokes

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Soft Computing in Information Retrieval

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 50))

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Abstract

This paper addresses the question of accessing the content of documents. Drawing from similarities between vision and language, a connectionist architecture was designed that can use context information for the “understanding” of content. The principles of the approach are illustrated by the problem of understanding jokes.

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© 2000 Springer-Verlag Berlin Heidelberg

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Zrehen, S. (2000). A Connectionist Approach to Content Access in Documents: Application to Detection of Jokes. In: Crestani, F., Pasi, G. (eds) Soft Computing in Information Retrieval. Studies in Fuzziness and Soft Computing, vol 50. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1849-9_7

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  • DOI: https://doi.org/10.1007/978-3-7908-1849-9_7

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-2473-5

  • Online ISBN: 978-3-7908-1849-9

  • eBook Packages: Springer Book Archive

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