An Improved Phrase-Based Approach To Annotating And Summarizing Student Course Responses

Abstract

Teaching large classes remains a great challenge, primarily because it is difficult to attend to all the student needs in a timely manner. Automatic text summarization systems can be leveraged to summarize the student feedback, submitted immediately after each lecture, but it is left to be discovered what makes a good summary for student responses. In this work we explore a new methodology that effectively extracts summary phrases from the student responses. Each phrase is tagged with the number of students who raise the issue. The phrases are evaluated along two dimensions: with respect to text content, they should be informative and well-formed, measured by the ROUGE metric; additionally, they shall attend to the most pressing student needs, measured by a newly proposed metric. This work is enabled by a phrase-based annotation and highlighting scheme, which is new to the summarization task. The phrase-based framework allows us to summarize the student responses into a set of bullet points and present to the instructor promptly.

Publication Date

1-1-2016

Publication Title

COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: Technical Papers

Number of Pages

53-63

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

85054972146 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85054972146

This document is currently not available here.

Share

COinS