我们是否需要回答那个问题？自然对话中潜在问题的显著性与可回答性

arXiv cs.CL 论文
dialogue-analysis question-understanding salience answerability natural-language-processing corpus-study

摘要

本文实证研究了自然对话中问题的显著性与可回答性之间的关系，发现一个稳健但低的正相关关系，且弱于独白文本中的相关性，这表明对话结构的可预测性较低。

arXiv:2609.31130v1 Announce Type: new Abstract: We empirically investigate Question Under Discussion based modelling in naturalistic dialogue by studying whether the salience of generated potential questions predicts their subsequent resolution. Building on Wu et al. (2024), we construct a dataset of 7,124 questions automatically generated from utterances and preceding context from the British National Corpus, and annotated for salience and answerability. We find a robust but low positive correlation between salience and answerability in dialogue, indicating that more salient questions are more likely to be addressed. However, this effect is markedly weaker than in monologic text, suggesting that conversational structure is less predictable. We further observe that structured interactions exhibit stronger alignment between annotators than less organised dialogues.
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# Do we need to answer that question? Salience and Answerability of Potential Questions in Naturalistic Dialogue
Source: [https://arxiv.org/abs/2609.31130](https://arxiv.org/abs/2609.31130)
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> Abstract:We empirically investigate Question Under Discussion based modelling in naturalistic dialogue by studying whether the salience of generated potential questions predicts their subsequent resolution\. Building on Wu et al\. \(2024\), we construct a dataset of 7,124 questions automatically generated from utterances and preceding context from the British National Corpus, and annotated for salience and answerability\. We find a robust but low positive correlation between salience and answerability in dialogue, indicating that more salient questions are more likely to be addressed\. However, this effect is markedly weaker than in monologic text, suggesting that conversational structure is less predictable\. We further observe that structured interactions exhibit stronger alignment between annotators than less organised dialogues\.

## Submission history

From: Amandine Decker \[[view email](https://arxiv.org/show-email/99eaa4f8/2609.31130)\] \[via CCSD proxy\] **\[v1\]**Fri, 25 Sep 2026 11:23:45 UTC \(1,284 KB\)

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