title: Prospects for in-depth story understanding by computer
creator: Mueller, Erik T.
subject: Artificial Intelligence
subject: Computational Linguistics
description: While much research on the hard problem of in-depth story understanding by computer was performed starting in the 1970s, interest shifted in the 1990s to information extraction and word sense disambiguation. Now that a degree of success has been achieved on these easier problems, I propose it is time to return to in-depth story understanding. In this paper I examine the shift away from story understanding, discuss some of the major problems in building a story understanding system, present some possible solutions involving a set of interacting understanding agents, and provide pointers to useful tools and resources for building story understanding systems.
date: 1999-11
type: Preprint
type: NonPeerReviewed
format: text/html
identifier: http://cogprints.org/554/1/storyund.htm
identifier:   Mueller, Erik T.  (1999) Prospects for in-depth story understanding by computer.  [Preprint]     
relation: http://cogprints.org/554/

<script src='//archive-bar.soton.ac.uk/archive-bar.js'></script>