File Information

File: 05-lr/acl_arc_1_sum/cleansed_text/xml_by_section/abstr/98/p98-2249_abstr.xml

Size: 878 bytes

Last Modified: 2025-10-06 13:49:29

<?xml version="1.0" standalone="yes"?>
<Paper uid="P98-2249">
  <Title>A Cognitive Model of Coherence-Driven Story Comprehension</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> Current models of story comprehension have three major deficiencies: (1) lack of experimental support for the inference processes they involve (e.g. reliance on prediction); (2) indifference to 'kinds' of coherence (e.g. local and global); and (3) inability to find interpretations at variable depths. I propose that comprehension is driven by the need to find a representation that reaches a 'coherence threshold'. Variable inference processes are a reflection of different thresholds, and the skepticism of an individual inference process determines how thresholds are reached.</Paragraph>
  </Section>
class="xml-element"></Paper>
Download Original XML