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        <title>Elaborative Simplification as Implicit Questions Under Discussion</title>
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    <abstract>Automated text simplification, a technique useful for making text more accessible to people such as children and emergent bilinguals, is often thought of as a monolingual translation task from complex sentences to simplified sentences using encoder-decoder models. This view fails to account for elaborative simplification, where new information is added into the simplified text. This paper proposes to view elaborative simplification through the lens of the Question Under Discussion (QUD) framework, providing a robust way to investigate what writers elaborate upon, how they elaborate, and how elaborations fit into the discourse context by viewing elaborations as explicit answers to implicit questions. We introduce ELABQUD, consisting of 1.3K elaborations accompanied with implicit QUDs, to study these phenomena. We show that explicitly modeling QUD (via question generation) not only provides essential understanding of elaborative simplification and how the elaborations connect with the rest of the discourse, but also substantially improves the quality of elaboration generation.</abstract>
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    <identifier type="doi">10.18653/v1/2023.emnlp-main.336</identifier>
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%0 Conference Proceedings
%T Elaborative Simplification as Implicit Questions Under Discussion
%A Wu, Yating
%A Sheffield, William
%A Mahowald, Kyle
%A Li, Junyi Jessy
%Y Bouamor, Houda
%Y Pino, Juan
%Y Bali, Kalika
%S Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
%D 2023
%8 December
%I Association for Computational Linguistics
%C Singapore
%F wu-etal-2023-elaborative
%X Automated text simplification, a technique useful for making text more accessible to people such as children and emergent bilinguals, is often thought of as a monolingual translation task from complex sentences to simplified sentences using encoder-decoder models. This view fails to account for elaborative simplification, where new information is added into the simplified text. This paper proposes to view elaborative simplification through the lens of the Question Under Discussion (QUD) framework, providing a robust way to investigate what writers elaborate upon, how they elaborate, and how elaborations fit into the discourse context by viewing elaborations as explicit answers to implicit questions. We introduce ELABQUD, consisting of 1.3K elaborations accompanied with implicit QUDs, to study these phenomena. We show that explicitly modeling QUD (via question generation) not only provides essential understanding of elaborative simplification and how the elaborations connect with the rest of the discourse, but also substantially improves the quality of elaboration generation.
%R 10.18653/v1/2023.emnlp-main.336
%U https://aclanthology.org/2023.emnlp-main.336
%U https://doi.org/10.18653/v1/2023.emnlp-main.336
%P 5525-5537

Markdown (Informal)

[Elaborative Simplification as Implicit Questions Under Discussion](https://aclanthology.org/2023.emnlp-main.336) (Wu et al., EMNLP 2023)

• Elaborative Simplification as Implicit Questions Under Discussion (Wu et al., EMNLP 2023)

ACL

• Yating Wu, William Sheffield, Kyle Mahowald, and Junyi Jessy Li. 2023. Elaborative Simplification as Implicit Questions Under Discussion. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 5525–5537, Singapore. Association for Computational Linguistics.