---
abstract: '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.'
altloc:
- http://www.signiform.com/erik/pubs/storyund.htm
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creators_name:
- family: Mueller
given: Erik T.
honourific: ''
lineage: ''
date: 1999-11
date_type: published
datestamp: 2000-03-01
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dir: disk0/00/00/05/54
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eprintid: 554
fileinfo: /style/images/fileicons/text_html.png;/554/1/storyund.htm
full_text_status: public
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keywords: 'story understanding, narrative comprehension'
lastmod: 2011-03-11 08:54:04
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rev_number: 8
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status_changed: 2007-09-12 16:30:50
subjects:
- comp-sci-art-intel
- ling-comput
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title: Prospects for in-depth story understanding by computer
type: preprint
userid: 392
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