Publication
EDM 2016
Conference paper

Document segmentation for labeling with academic learning objectives

Abstract

Teaching in formal academic environments typically follows a curriculum that specifies learning objectives that need to be met at each phase of a student’s academic progression. In this paper, we address the novel task of identifying document segments in educational material that are relevant for different learning objectives. Using a dynamic programming algorithm based on a vector space representation of sentences in a document, we automatically segment and then label document segments with learning objectives. We demonstrate the effectiveness of our approach on a real-world education data set. We further demonstrate how our system is useful for related tasks of document passage retrieval and QA using a large publicly available dataset. To the best of our knowledge we are the first to attempt the task of segmenting and labeling education materials with academic learning objectives.

Date

29 Jun 2016

Publication

EDM 2016

Authors

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