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The Implementation of Collaborative Dialogues in a Literary-Cultural Course
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In: L2 Journal, vol 14, iss 3 (2022)
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L’hybridité constitutive du Je romanesque ; First-person narrative and its pretense games: a constitutive hybridity
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In: ISSN: 0765-4944 ; EISSN: 2111-5044 ; Les cahiers de praxématique ; https://hal.archives-ouvertes.fr/hal-03639446 ; Les cahiers de praxématique, Montpellier : Presses universitaires de la Méditerranée, 2006-, 2022, Hétérogénéité énonciative et discours en interaction (2) ; http://praxematique.revues.org/ 10.4000/praxematique.6936 (2022)
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TİBBİ NATİQLİKDƏ DİALOQUN VƏ MONOLOQUN XÜSUSİYYƏTLƏRİ ... : Специфика диалога и монолога в медицинском общении ...
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| 4 |
Mutual Understanding in Situated Interactions with Conversational User Interfaces : Theory, Studies, and Computation
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| 5 |
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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Considering Commonsense in Solving QA: Reading Comprehension with Semantic Search and Continual Learning
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In: Applied Sciences; Volume 12; Issue 9; Pages: 4099 (2022)
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Improved Spoken Language Representation for Intent Understanding in a Task-Oriented Dialogue System
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In: Sensors; Volume 22; Issue 4; Pages: 1509 (2022)
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| 8 |
Topic Break Detection in Interview Dialogues Using Sentence Embedding of Utterance and Speech Intention Based on Multitask Neural Networks
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In: Sensors; Volume 22; Issue 2; Pages: 694 (2022)
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Abstract:
Currently, task-oriented dialogue systems that perform specific tasks based on dialogue are widely used. Moreover, research and development of non-task-oriented dialogue systems are also actively conducted. One of the problems with these systems is that it is difficult to switch topics naturally. In this study, we focus on interview dialogue systems. In an interview dialogue, the dialogue system can take the initiative as an interviewer. The main task of an interview dialogue system is to obtain information about the interviewee via dialogue and to assist this individual in understanding his or her personality and strengths. In order to accomplish this task, the system needs to be flexible and appropriate for detecting topic switching and topic breaks. Given that topic switching tends to be more ambiguous in interview dialogues than in task-oriented dialogues, existing topic modeling methods that determine topic breaks based only on relationships and similarities between words are likely to fail. In this study, we propose a method for detecting topic breaks in dialogue to achieve flexible topic switching in interview dialogue systems. The proposed method is based on multi-task learning neural network that uses embedded representations of sentences to understand the context of the text and utilizes the intention of an utterance as a feature. In multi-task learning, not only topic breaks but also the intention associated with the utterance and the speaker are targets of prediction. The results of our evaluation experiments show that using utterance intentions as features improves the accuracy of topic separation estimation compared to the baseline model.
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Keyword:
dialogue analysis; interview dialogue; topic segmentation
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URL: https://doi.org/10.3390/s22020694
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| 9 |
Cross-Lingual Transfer Learning for Arabic Task-Oriented Dialogue Systems Using Multilingual Transformer Model mT5
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In: Mathematics; Volume 10; Issue 5; Pages: 746 (2022)
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| 10 |
AraConv: Developing an Arabic Task-Oriented Dialogue System Using Multi-Lingual Transformer Model mT5
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In: Applied Sciences; Volume 12; Issue 4; Pages: 1881 (2022)
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| 11 |
A Literature Survey of Recent Advances in Chatbots
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In: Information; Volume 13; Issue 1; Pages: 41 (2022)
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| 12 |
Multicultural classroom discourse dataset on teachers' and students' dialogic empathy.
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Haptic performativity: exploring the force of bodies and the limits of linguistic action in silent protests
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DEBACER: a method for slicing moderated debates
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In: Anais do XVIII Encontro Nacional de Inteligência Artificial e Computacional ; https://hal.telecom-paris.fr/hal-03527450 ; Anais do XVIII Encontro Nacional de Inteligência Artificial e Computacional, Nov 2021, São Paulo, Brazil. pp.667-678, ⟨10.5753/eniac.2021.18293⟩ (2021)
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| 17 |
Picturing Questions and Answers - a formal approach to SLAM
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In: (In)coherence of discourse - Formal and Conceptual issues of Language ; https://hal.inria.fr/hal-02269631 ; Amblard, Maxime; Musiol, Michel; Rebuschi, Manuel. (In)coherence of discourse - Formal and Conceptual issues of Language, Springer, 2021, (In)coherence of discourse Formal and Conceptual issues of Language (2021)
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The L2L system for second language learning using visualised zoom calls among students
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In: Dey-Plissonneau, Aparajita, Lee, Hyowon orcid:0000-0003-4395-7702 , Pradier, Vincent orcid:0000-0002-7050-6408 , Scriney, Michael orcid:0000-0001-6813-2630 and Smeaton, Alan F. orcid:0000-0003-1028-8389 (2021) The L2L system for second language learning using visualised zoom calls among students. In: 16th European Conference on Technology-Enhanced Learning EC-TEL 2021, 20-24 Sept 2021, Bozen-Bolzano, Italy (Online). ISBN 978-3-030-86435-4 (2021)
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| 19 |
Towards alignment strategies in human-agent interactions based on measures of lexical repetitions
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In: ISSN: 1574-020X ; EISSN: 1574-0218 ; Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-03147824 ; Language Resources and Evaluation, Springer Verlag, 2021, 55 (2), pp.353-388. ⟨10.1007/s10579-021-09532-w⟩ ; https://link.springer.com/journal/10579/volumes-and-issues/55-2 (2021)
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Towards alignment strategies in human-agent interactions based on measures of lexical repetitions
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In: ISSN: 1574-020X ; EISSN: 1572-8412 ; Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-03147824 ; Language Resources and Evaluation, Springer Verlag, 2021, ⟨10.1007/s10579-021-09532-w⟩ (2021)
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