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Interpreting Answers to Yes-No Questions in User-Generated Content

arXiv 2310.15464 ↗First posted 24 Oct 2023cs.CLcited by 0

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Abstract (arXiv)

Interpreting answers to yes-no questions in social media is difficult. Yes and no keywords are uncommon, and the few answers that include them are rarely to be interpreted what the keywords suggest. In this paper, we present a new corpus of 4,442 yes-no question-answer pairs from Twitter. We discuss linguistic characteristics of answers whose interpretation is yes or no, as well as answers whose interpretation is unknown. We show that large language models are far from solving this problem, even after fine-tuning and blending other corpora for the same problem but outside social media.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 21 of its 52 references that are in the map. First posted on arXiv 24 Oct 2023.

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References · 21

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9 more
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