ERIC ED592663: Document Segmentation for Labeling with pdf

ERIC ED592663: Document Segmentation for Labeling with

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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. [For the full proceedings, see ED592609

• Creator/s: ERIC
• Date: 2016
• Book Topics/Themes: ERIC Archive, ERIC, Bhartiya, Divyanshu Contractor, Danish Biswas, Sovan Senjupta, Bikram Mohania, Mukesh, Behavioral Objectives, Instructional Materials, Computer Uses in Education, Classification, Metadata, Automation

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