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The distribution of discourse relations within and across turns in spontaneous conversation

arXiv 2307.03645 ↗First posted 7 Jul 2023cs.CLcited by 1

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Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 2 of its 31 references that are in the map. First posted on arXiv 7 Jul 2023.

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2 of 31 references.

References · 2

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2017Sentiment analysis based on rhetorical structure theory: Learning deep neural networks from discourse treescited by 6

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