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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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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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Abstract:
Task-oriented dialogue systems (DS) are designed to help users perform daily activities using natural language. Task-oriented DS for English language have demonstrated promising performance outcomes; however, developing such systems to support Arabic remains a challenge. This challenge is mainly due to the lack of Arabic dialogue datasets. This study introduces the first Arabic end-to-end generative model for task-oriented DS (AraConv), which uses the multi-lingual transformer model mT5 with different settings. We also present an Arabic dialogue dataset (Arabic-TOD) and used it to train and test the proposed AraConv model. The results obtained are reasonable compared to those reported in the studies of English and Chinese using the same mono-lingual settings. To avoid problems associated with a small training dataset and to improve the AraConv model’s results, we suggest joint-training, in which the model is jointly trained on Arabic dialogue data and data from one or two high-resource languages such as English and Chinese. The findings indicate the AraConv model performed better in the joint-training setting than in the mono-lingual setting. The results obtained from AraConv on the Arabic dialogue dataset provide a baseline for other researchers to build robust end-to-end Arabic task-oriented DS that can engage with complex scenarios.
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Keyword:
Arabic; mT5; multi-lingual transformer model; natural language processing; task-oriented dialogue systems
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URL: https://doi.org/10.3390/app12041881
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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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| 14 |
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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