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1
Enthymemes and topoi in dialogue : the use of common sense reasoning in conversation
Breitholtz, Ellen. - Boston : Brill, 2020
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UB Frankfurt Linguistik
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2
When conversation lapses : the public accountability of silent copresence
Hoey, Elliott M.. - New York, NY : Oxford University Press, 2020
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UB Frankfurt Linguistik
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3
Communicating & relating : constituting face in everyday interacting
Arundale, Robert B.. - New York : Oxford University Press, 2020
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UB Frankfurt Linguistik
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4
Conversation Among Primate Species
In: The Origins of Language Revisited ; https://hal.archives-ouvertes.fr/hal-02877821 ; Nobuo Masataka. The Origins of Language Revisited, Springer Singapore, pp.73-96, 2020, 9789811542497. ⟨10.1007/978-981-15-4250-3_4⟩ (2020)
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5
Interactions in Romance languages: multimodal studies.Introduction to the special issue ; Introduction. Les interactions en langues romanes : études multimodales
In: ISSN: 1023-2044 ; Bulletin suisse de Linguistique appliquée ; https://halshs.archives-ouvertes.fr/halshs-03104131 ; Bulletin suisse de Linguistique appliquée, Neuchâtel : Institut de linguistique de l'Université, 2020, Les interactions en langues romanes: études multimodales / Le interazioni in lingue romanze: studi multimodali / Interactions in Romance languages: multimodal studies, pp.1-13 (2020)
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6
Listeners are better at predicting speakers similar to themselves
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7
TurnGPT : a Transformer-based Language Model for Predicting Turn-taking in Spoken Dialog
Skantze, Gabriel; Ekstedt, Erik. - : KTH, Tal, musik och hörsel, TMH, 2020. : Online : Association for Computational Linguistics, 2020
Abstract: Syntactic and pragmatic completeness is known to be important for turn-taking prediction, but so far machine learning models of turn-taking have used such linguistic information in a limited way. In this paper, we introduce TurnGPT, a transformer-based language model for predicting turn-shifts in spoken dialog. The model has been trained and evaluated on a variety of written and spoken dialog datasets. We show that the model outperforms two baselines used in prior work. We also report on an ablation study, as well as attention and gradient analyses, which show that the model is able to utilize the dialog context and pragmatic completeness for turn-taking prediction. Finally, we explore the model’s potential in not only detecting, but also projecting, turn-completions. ; QC 20210607
Keyword: Computer Systems; conversational systems; Datorsystem; dialog systems; generative; natural language processing; turn-taking
URL: https://doi.org/10.18653/v1/2020.findings-emnlp.268
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-296175
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8
Reconceptualizing interruptions in talk-in-interaction : Their scope and outcomes in relation to conversational dominance
In: Langage et société, N 169, 1, 2020-01-13, pp.169-190 (2020)
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