Paper: Automated Scoring of a Summary-Writing Task Designed to Measure Reading Comprehension

ACL ID W13-1722
Title Automated Scoring of a Summary-Writing Task Designed to Measure Reading Comprehension
Venue Innovative Use of NLP for Building Educational Applications
Session
Year 2013
Authors

We introduce a cognitive framework for mea- suring reading comprehension that includes the use of novel summary writing tasks. We derive NLP features from the holistic rubric used to score the summaries written by stu- dents for such tasks and use them to design a preliminary, automated scoring system. Our results show that the automated approach per- forms well on summaries written by students for two different passages.