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Looking at the Pragmatics of Laughter
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In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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Local Alignment of Frame of Reference Assignment in English and Swedish Dialogue
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In: Conference papers (2020)
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Towards a Computational Model of Frame of Reference Alignment in Swedish Dialogue
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In: Conference papers (2016)
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Linguistic indicators of severity and profess in online text-based therapy for depression
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Using conversation topics for predicting therapy outcomes in schizophrenia.
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Abstract:
Published online ; Previous research shows that aspects of doctor-patient communication in therapy can predict patient symptoms, satisfaction and future adherence to treatment (a significant problem with conditions such as schizophrenia). However, automatic prediction has so far shown success only when based on low-level lexical features, and it is unclear how well these can generalize to new data, or whether their effectiveness is due to their capturing aspects of style, structure or content. Here, we examine the use of topic as a higher-level measure of content, more likely to generalize and to have more explanatory power. Investigations show that while topics predict some important factors such as patient satisfaction and ratings of therapy quality, they lack the full predictive power of lower-level features. For some factors, unsupervised methods produce models comparable to manual annotation. ; Engineering and Physical Sciences Research Council ; Medical Research Council
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Keyword:
doctor-patient communication; LDA; topic modelling
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URL: http://hdl.handle.net/10871/19840 https://doi.org/10.4137/BII.S11661
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Using Conversation Topics for Predicting Therapy Outcomes in Schizophrenia
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The prosody of Bemba relative clauses: a case study of the syntax-phonology interface in Dynamic Syntax
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On Incrementality in Dialogue: Evidence from Compound Contributions
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In: Dialogue & Discourse; Vol 2 No 1 (2011); 279-311 ; 2152-9620 (2011)
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Tracking Lexical and Syntactic Alignment in Conversation
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In: Howes, Christine; Healey, Patrcik G.T.; & Purver, Matthew. (2010). Tracking Lexical and Syntactic Alignment in Conversation. Proceedings of the Cognitive Science Society, 32(32). Retrieved from: http://www.escholarship.org/uc/item/42m4n7n0 (2010)
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