Cogprints

Prospects for in-depth story understanding by computer

Mueller, Erik T. (1999) Prospects for in-depth story understanding by computer. [Preprint]

Full text available as:

[img]HTML
66Kb

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.

Item Type:Preprint
Keywords:story understanding, narrative comprehension
Subjects:Computer Science > Artificial Intelligence
Linguistics > Computational Linguistics
ID Code:554
Deposited By:Mueller, Erik T.
Deposited On:01 Mar 2000
Last Modified:11 Mar 2011 08:54

Metadata

Repository Staff Only: item control page