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

Autor:	Cortez, S. Magalí López, Jacobs, Cassandra L.
Rok vydání:	2023
Předmět:	Computer Science - Computation and Language
Druh dokumentu:	Working Paper
Popis:	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. Comment: Proceedings of Computational Approaches to Discourse 2023, collocated with the 2023 meeting of the Association for Computational Linguistics, Toronto, Canada
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2307.03645 Zobrazit plný text záznamu View this record from Arxiv