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Automatic annotation of context and speech acts for dialogue corpora
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The User Model-Based Summarize and Re_ne Approach Improves Information Presentation in Spoken Dialog Systems
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In: ISSN: 0885-2308 ; EISSN: 1095-8363 ; Computer Speech and Language ; https://hal.archives-ouvertes.fr/hal-00692184 ; Computer Speech and Language, Elsevier, 2010, 25 (2), pp.175. ⟨10.1016/j.csl.2010.04.003⟩ (2010)
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Abstract:
International audience ; A common task for Spoken Dialogue Systems (SDS) is to help users select a suitable option (e.g., fight, hotel, restaurant) from the set of options available. As the number of options increases, the system must have strategies for generating summaries that enable the user to browse the option space e_ciently and successfully. In the user-model based summarize and refine approach (UMSR, Demberg and Moore, 2006), options are clustered to maximize utility with respect to a user model, and linguistic devices such as discourse cues and adverbials are used to highlight the trade-o_s among the presented items. In a Wizard-of-Oz experiment, we show that the UMSR approach leads to improvements in task success, e_ciency, and user satisfaction compared to an approach that clusters the available options to maximise coverage of the domain (Polifroni et al., 2003). In both a laboratory experiment and a web-based experimental paradigm employing the Amazon Mechanical Turk platform, we show that the discourse cues in UMSR summaries help users compare diffirent options and choose between options, even though they do not improve verbatim recall. This effect was observed for both written and spoken stimuli.
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Keyword:
[SCCO.LING]Cognitive science/Linguistics; discourse; Information presentation; markers; spoken dialog systems; user modeling
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URL: https://hal.archives-ouvertes.fr/hal-00692184/document
https://hal.archives-ouvertes.fr/hal-00692184/file/PEER_stage2_10.1016%252Fj.csl.2010.04.003.pdf
https://doi.org/10.1016/j.csl.2010.04.003
https://hal.archives-ouvertes.fr/hal-00692184
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BEETLE II: A System for Tutoring and Computational Linguistics Experimentation
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In: DTIC (2010)
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The Impact of Interpretation Problems on Tutorial Dialogue
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In: DTIC (2010)
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A Study of Feedback Strategies in Foreign Language Classrooms and Tutorials with Implications for Intelligent Computer-Assisted Language Learning Systems
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Automatic Annotation of Context and Speech Acts for Dialogue Corpora.
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Generating Tailored, Comparative Descriptions with Contextually Appropriate Intonation
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The MATCH Corpus: A Corpus of Older and Younger Users' Interactions With Spoken Dialogue Systems.
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Metacognitive Awareness versus Linguistic Politeness: Expressions of Confusion in Tutorial Dialogues
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In: DTIC (2009)
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Automatic annotation of context and speech acts for dialogue corpora
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In: ISSN: 1351-3249 ; Natural Language Engineering, Vol. 15, No 3 (2009) pp. 315-353 (2009)
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Evaluating Information Presentation Strategies for Spoken Dialogue Systems
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Personality and alignment processes in dialogue: towards a lexically-based unified model
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Context Effects in Language Production: Models of Syntactic Priming in Dialogue Corpora
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Evaluating the impact of variation in automatically generated embodied object descriptions
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