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NLPropTest: Parsing English to Property-Based Tests with Categorial Grammars ...
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NLPropTest: Parsing English to Property-Based Tests with Categorial Grammars ...
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Jibes & Delights: A Dataset of Targeted Insults and Compliments to Tackle Online Abuse ...
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Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ...
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Pemanfaatan Bank-data Digital Dwibahasa dalam Kajian Terjemahan: Studi kasus padanan bahasa Indonesia untuk verba sinonim bahasa Inggris ROB & STEAL ...
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Pemanfaatan Bank-data Digital Dwibahasa dalam Kajian Terjemahan: Studi kasus padanan bahasa Indonesia untuk verba sinonim bahasa Inggris ROB & STEAL ...
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Chances and Challenges for Quantitative Approaches in Chinese Historical Phonology ...
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Computational Approaches to Historical Language Comparison ...
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The glyph project: The distinctiveness of written characters — online crowdsourcing for a typology of letter shapes ...
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Backchannel Behavior Influences the Perceived Personality of Human and Artificial Communication Partners
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Abstract:
Different applications or contexts may require different settings for a conversational AI system, as it is clear that e.g., a child-oriented system would need a different interaction style than a warning system used in emergency situations. The current article focuses on the extent to which a system's usability may benefit from variation in the personality it displays. To this end, we investigate whether variation in personality is signaled by differences in specific audiovisual feedback behavior, with a specific focus on embodied conversational agents. This article reports about two rating experiments in which participants judged the personalities (i) of human beings and (ii) of embodied conversational agents, where we were specifically interested in the role of variability in audiovisual cues. Our results show that personality perceptions of both humans and artificial communication partners are indeed influenced by the type of feedback behavior used. This knowledge could inform developers of conversational AI on how to also include personality in their feedback behavior generation algorithms, which could enhance the perceived personality and in turn generate a stronger sense of presence for the human interlocutor. ; QC 20220404
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Keyword:
Language Technology (Computational Linguistics); Språkteknologi (språkvetenskaplig databehandling)
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URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-310438 https://doi.org/10.3389/frai.2022.835298
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Found speech and humans in the loop : Ways to gain insight into large quantities of speech
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Is a Wizard-of-Oz Required for Robot-Led Conversation Practice in a Second Language?
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Águas Lopes, José David; Cumbal, Ronald; Engwall, Olov. - : KTH, Tal-kommunikation, 2022. : KTH, Tal, musik och hörsel, TMH, 2022. : Springer Nature, 2022
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Using Machine Learning for Pharmacovigilance: A Systematic Review
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In: Pharmaceutics; Volume 14; Issue 2; Pages: 266 (2022)
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Vec2Dynamics: A Temporal Word Embedding Approach to Exploring the Dynamics of Scientific Keywords—Machine Learning as a Case Study
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In: Big Data and Cognitive Computing; Volume 6; Issue 1; Pages: 21 (2022)
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