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UC Merced Proceedings of the Annual Meeting of the Cognitive Science Society Title Cohesion Grading Decisions in a Summary Evaluation Environment: A Machine Learning Approach Permalink Publication Date Cohesion Grading Decisions in a Summary Evaluation Environment: A Machine Learning Approach
2012
Proceedings of the Annual Meeting of the Cognitive Science Society
unpublished
The work presented in this paper has been carried out in the context of a summary writing environment provided with automatic grading. Regarding summarisation discourse, some of the most relevant variables identified in previous work are comprehension, adequacy, use of language, coherence, and cohesion. This work is focused on cohesion. The described exploratory study starts from basic automatic measures of cohesion to further analyse which of them best reflects human expert overall cohesion
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