Prospects for in-depth story understanding by computer

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dc.creatorMueller, Erik T.
dc.date2000-03-01
dc.date.accessioned2026-07-07T03:15:55Z
dc.date.available2026-07-07T03:15:55Z
dc.descriptionWhile 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.
dc.identifierhttps://arxiv.org/abs/cs/0003003
dc.identifierhttp://arxiv.org/abs/cs/0003003
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/30166
dc.subjectArtificial Intelligence
dc.subjectComputation and Language
dc.subjectI.2.7
dc.titleProspects for in-depth story understanding by computer
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