TY  - GEN
ID  - cogprints554
UR  - http://cogprints.org/554/
A1  - Mueller, Erik T.
TI  - Prospects for in-depth story understanding by computer
Y1  - 1999/11//
N2  - 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.
AV  - public
KW  - story understanding
KW  -  narrative comprehension
ER  -

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