Published May 1998
| public
Book Section - Chapter
Understanding jokes: a neural approach to content-based information retrieval
- Creators
- Zrehen, Stephane
- Arbib, Michael A.
- Others:
- Sycara, Katia P.
- Wooldridge, Michael
Chicago
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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.
Additional Information
© 1998 ACM. S.Z. was supported for this work by a contract from Fuji-Xerox Palo-Alto Research Laboratory.Additional details
- Eprint ID
- 73394
- Resolver ID
- CaltechAUTHORS:20170110-144200191
- Fuji-Xerox Palo-Alto Research Laboratory
- Created
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2017-01-10Created from EPrint's datestamp field
- Updated
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2021-11-11Created from EPrint's last_modified field