Summarizing Narratives
Proceedings of the Seventh International Joint Conference on Artificial Intelligence. Cognitive Science. Pages 184-188.
Abstract
Most research on narrative text summarization has been conducted within the paradigm of experimental psychology. But recent language processing research in artificial intelligence suggests that the predominant theory of text summarization requires further examination. Seemingly minor structural modifications of a story can result in significant alterations of summary behavior. In this paper, highlights of summary data from 72 subjects are presented and analyzed in terms of two competing summarization models: (1) the story grammar model of psychology, and (2) the plot unit model developed in artificial intelligence . We will show how selected story grammar predictions compare to plot unit predictions for short term summarization and then identify two complicating factors that have a major impact . on summarization behavior.
@inproceedings{ijcai1981p38,
title = {Summarizing Narratives},
author = {Lehnert, Wendy G. and Black, John B. and Reiser, Brian J.},
booktitle = {Proceedings of the Seventh International Joint Conference on
Artificial Intelligence, {IJCAI-81}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Roger C. Schank},
pages = {184--188},
year = {1981},
month = {8},
note = {Cognitive Science},
url = {https://ijcai.org/proceedings/1981/38},
}
TY - CPAPER TI - Summarizing Narratives AU - Lehnert, Wendy G. AU - Black, John B. AU - Reiser, Brian J. T2 - Proceedings of the Seventh International Joint Conference on Artificial Intelligence, IJCAI-81 PB - International Joint Conferences on Artificial Intelligence PY - 1981 SP - 184 EP - 188 UR - https://ijcai.org/proceedings/1981/38 ER -Copied
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