Prospects for in-depth story understanding by computer
Artificial Intelligence
2007-05-23 v1 Computation and Language
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.
Cite
@article{arxiv.cs/0003003,
title = {Prospects for in-depth story understanding by computer},
author = {Erik T. Mueller},
journal= {arXiv preprint arXiv:cs/0003003},
year = {2007}
}