Elaborative Simplification as Implicit Questions Under Discussion

被引:0
|
作者
Wu, Yating [1 ]
Sheffield, William [2 ]
Mahowald, Kyle [2 ]
Li, Junyi Jessy [2 ]
机构
[1] Univ Texas Austin, Elect & Comp Engn, Austin, TX 78712 USA
[2] Univ Texas Austin, Linguist, Austin, TX 78712 USA
来源
2023 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING, EMNLP 2023 | 2023年
基金
美国国家科学基金会;
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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 to simplified text. 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.
引用
收藏
页码:5525 / 5537
页数:13
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