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Understanding jokes: a neural approach to content-based information retrieval

Zrehen, Stephane and Arbib, Michael A. (1998) Understanding jokes: a neural approach to content-based information retrieval. In: AGENTS '98 Proceedings of the second international conference on Autonomous agents. ACM , New York, NY, pp. 343-349. ISBN 0-89791-983-1. https://resolver.caltech.edu/CaltechAUTHORS:20170110-144200191

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Abstract

This paper addresses the problem of accessing the content of documents. Drawing from similarities between vision and language, we devise a neural adaptive architecture that can detect and use context information for the ‘understanding” of content, The functioning of this architecture is illustrated by the problem of understanding jokes.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1145/280765.280856DOIArticle
http://dl.acm.org/citation.cfm?doid=280765.280856PublisherArticle
Additional Information:© 1998 ACM. S.Z. was supported for this work by a contract from Fuji-Xerox Palo-Alto Research Laboratory.
Funders:
Funding AgencyGrant Number
Fuji-Xerox Palo-Alto Research LaboratoryUNSPECIFIED
Record Number:CaltechAUTHORS:20170110-144200191
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20170110-144200191
Official Citation:Stephane Zrehen and Michael A. Arbib. 1998. Understanding jokes: a neural approach to content-based information retrieval. In Proceedings of the second international conference on Autonomous agents (AGENTS '98), Katia P. Sycara and Michael Wooldridge (Eds.). ACM, New York, NY, USA, 343-349. DOI=http://dx.doi.org/10.1145/280765.280856
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:73394
Collection:CaltechAUTHORS
Deposited By: Kristin Buxton
Deposited On:10 Jan 2017 23:40
Last Modified:03 Oct 2019 16:27

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