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date: 23 October 2020

Abstract and Keywords

When building applications for educational settings, Natural Language Processing (NLP) researchers should give serious consideration to the educational problem spaces for which an application is intended. This chapter discusses contexts in which NLP applications can support major educational problem spaces. The chapter first outlines these problem spaces, and then discusses how existing applications have addressed different aspects of each educational problem space, setting the stage for researchers to consider new opportunities.

Keywords: educational technology, Natural Language Processing, text complexity, automated essay scoring, automated essay evaluation

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