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Oct, 2023
用户生成内容中的是非问题解读
Interpreting Answers to Yes-No Questions in User-Generated Content
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Shivam Mathur, Keun Hee Park, Dhivya Chinnappa, Saketh Kotamraju, Eduardo Blanco
TL;DR
社交媒体上解释是非问题的答案是困难的,本文提出了一种新的包含来自Twitter的4,442个是非问题答案对的语料库,探讨了解释为是、否或未知的答案的语言特征,证明大型语言模型在解决这个问题上仍然存在问题。
Abstract
interpreting
answers to
yes-no questions
in
social media
is difficult. Yes and no keywords are uncommon, and the few answers that include
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