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
Full text is not posted in this repository. Consult Related URLs below.
Use this Persistent URL to link to this item: https://resolver.caltech.edu/CaltechAUTHORS:20170110-144200191
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: |
| |||||||||
| Additional Information: | © 1998 ACM. S.Z. was supported for this work by a contract from Fuji-Xerox Palo-Alto Research Laboratory. | |||||||||
| Funders: |
| |||||||||
| DOI: | 10.1145/280765.280856 | |||||||||
| 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: | INVALID USER | |||||||||
| Deposited On: | 10 Jan 2017 23:40 | |||||||||
| Last Modified: | 11 Nov 2021 05:15 |
Repository Staff Only: item control page
