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1
A Feasibility Study of Answer-Agnostic Question Generation for Education ...
Abstract: We conduct a feasibility study into the applicability of answer-agnostic question generation models to textbook passages. We show that a significant portion of errors in such systems arise from asking irrelevant or uninterpretable questions and that such errors can be ameliorated by providing summarized input. We find that giving these models human-written summaries instead of the original text results in a significant increase in acceptability of generated questions (33% $\rightarrow$ 83%) as determined by expert annotators. We also find that, in the absence of human-written summaries, automatic summarization can serve as a good middle ground. ... : To be published in 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022) ...
Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Human-Computer Interaction cs.HC; I.2.7
URL: https://dx.doi.org/10.48550/arxiv.2203.08685
https://arxiv.org/abs/2203.08685
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2
Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification ...
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3
Simplification Using Paraphrases and Context-Based Lexical Substitution
In: Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ; https://hal.archives-ouvertes.fr/hal-01838519 ; Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Association for Computational Linguistics, Jun 2018, Nouvelle Orléans, United States (2018)
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