Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trends
CoRR(2024)
摘要
Natural Language Processing (NLP) aims to analyze the text via techniques in
the computer science field. It serves the applications in healthcare, commerce,
and education domains. Particularly, NLP has been applied to the education
domain to help teaching and learning. In this survey, we review recent advances
in NLP with a focus on solving problems related to the education domain. In
detail, we begin with introducing the relevant background. Then, we present the
taxonomy of NLP in the education domain. Next, we illustrate the task
definition, challenges, and corresponding techniques based on the above
taxonomy. After that, we showcase some off-the-shelf demonstrations in this
domain and conclude with future directions.
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