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Plot Units and Narrative Summarization *
Author(s) -
Lehnert Wendy G.
Publication year - 1981
Publication title -
cognitive science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.498
H-Index - 114
eISSN - 1551-6709
pISSN - 0364-0213
DOI - 10.1207/s15516709cog0504_1
Subject(s) - plot (graphics) , automatic summarization , narrative , graph , computer science , natural language processing , representation (politics) , scatter plot , artificial intelligence , theoretical computer science , mathematics , linguistics , statistics , machine learning , philosophy , politics , political science , law
In order to summarize a story, it is necessary to access a high level analysis of the story that highlights its central concepts. A technique of memory representation based on plot units appears to provide a rich foundation for such an analysis. Plot units are conceptual structures that overlap with each other when a narrative is cohesive. When overlapping intersections between plot units are interpreted as arcs in a graph of plot units, the resulting graph encodes the plot of the story. Structural features of the graph then reveal which concepts are central to the story, and which concepts are peripheral. Plot unit analysis is currently being investigated as a processing strategy for narrative summarization by both computer simulation and psychological experiments.