Litcius/Paper detail

Automated Text Generation and Summarization for Academic Writing

Fernando Benites, Alice Delorme Benites, Chris M. Anson

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Abstract

Abstract In this chapter, we discuss the implications of automatic text generation for academic writing. We first review the current state of the technology and how it is being used. We then discuss the implications of using automatic text generators for academic writing, including the need for users to be aware of the limitations of the technology and how to use it effectively. We also discuss how the use of automatic text generation can change the traditional stages of writing, and how the content generated by these systems is not justified by semantic or extra-linguistic criteria. We finally argue that notions that have been useful for explaining, analyzing, and teaching academic writing will need to be re-examined in the light of human–machine-interaction. (This abstract has been automatically generated using OpenAI and slightly post-edited; see this article’s Appendix for an explanation.)

Topics & Concepts

Automatic summarizationComputer scienceText generationAcademic writingNatural language processingArtificial intelligenceLinguisticsMathematics educationPsychologyPhilosophyTopic ModelingNatural Language Processing TechniquesSemantic Web and Ontologies