Paper: A Cognitive Model of Coherence-Driven Story Comprehension

ACL ID C98-2244
Title A Cognitive Model of Coherence-Driven Story Comprehension
Venue International Conference on Computational Linguistics
Session Main Conference
Year 1998
Authors

Current models of story comprehension have three major deficiencies: (1) lack of experimen- tal support for the inference processes they in- volve (e.g. reliance on prediction); (2) indif- ference to 'kinds' of coherence (e.g. local and global); and (3) inability to flint interpretations at variable depths. I propose that comprehen- sion is driven by the need to find a representa- tion that reaches a 'coherence threshold'. Vari- able inference processes are a reflection of differ- ent thresholds, and the skepticism of an individ- ual inference process determines how thresholds are reached.