Time pressure and topic negotiation may impose constraints on how people
leverage discourse relations (DRs) in spontaneous conversational contexts. In
this work, we adapt a system of DRs for written language to spontaneous
dialogue using crowdsourced annotations from novice annotators. We then test
whether discourse relations are used differently across several types of
multi-utterance contexts. We compare the patterns of DR annotation within and
across speakers and within and across turns. Ultimately, we find that different
discourse contexts produce distinct distributions of discourse relations, with
single-turn annotations creating the most uncertainty for annotators.
Additionally, we find that the discourse relation annotations are of sufficient
quality to predict from embeddings of discourse units.

时间压力和话题协商对人们在即兴对话环境中利用话语关系（DRs）存在限制。本研究使用初学者注释的众包数据，将一种面向书面语的 DR 系统适应到即兴对话中，并测试不同类型的多发话语环境中的话语关系使用情况。我们比较说话者内部和跨说话者以及连续回合内部和跨连续回合的 DR 注释模式。最终，我们发现不同的话语环境产生不同的话语关系分布，而单个回合的注释给注释者带来最大的不确定性。此外，我们发现话语关系注释的质量足以从话语单位的嵌入中进行预测。