Academic literature on the topic 'Dialogue'

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Journal articles on the topic "Dialogue"

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Tedlock, Dennis. "Dialogue and Dialogic." Journal of Linguistic Anthropology 7, no. 2 (1997): 220–21. http://dx.doi.org/10.1525/jlin.1997.7.2.220.

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Toftgaard, Anders. "Monologue à plusieurs voix." Revue Romane / Langue et littérature. International Journal of Romance Languages and Literatures 45, no. 2 (2010): 275–95. http://dx.doi.org/10.1075/rro.45.2.06tof.

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Noting that both the earliest readers of Montaigne’s Essais and their modern counterparts have likened them to a dialogue with a friend, this article seeks to explore the work’s dialogic characteristics. The humanist dialogue is an obvious precursor to the Essais, and even though Montaigne voiced dissatisfaction with Plato’s dialogues, he aspired to match Plato’s style, not least in achieving a conversational tone. Three different elements of dialogue are analysed : the “Dialogue of One” between the different parts of Montaigne’s mind, the dialogue between the author and the writers quoted and
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Harvie, Jennifer, and Richard Paul Knowles. "Dialogic Monologue: A Dialogue." Theatre Research in Canada 15, no. 2 (1994): 136–63. http://dx.doi.org/10.3138/tric.15.2.136.

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Michael Sidnell has drawn attention to the potential for dramatic monologue to be dialogic in ways that dialogue in the theatre rarely is, and he has pointed to a recent proliferation of dialogic monologue in Canadian theatre. This essay will examine the potentially dialogic function of monologue in some contemporary Canadian plays. Questions central to this examination will be: when is monologue dialogic, and what are the effects of dialogic monologue? Considering that the actor often stands indexicallyfor an autonomous subject which is easily conflated with the character the actor is playing
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Harvie, Jennifer, and Richard Paul Knowles. "Dialogic Monologue: A Dialogue." Theatre Research in Canada 15, no. 2 (1994): 136–63. http://dx.doi.org/10.3138/tric.15.2.136.

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O’Connor, Catherine, and Sarah Michaels. "When Is Dialogue ‘Dialogic’?" Human Development 50, no. 5 (2007): 275–85. http://dx.doi.org/10.1159/000106415.

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Martin, Sebastian. "Stakeholder dialogue on Facebook." International Journal of Energy Sector Management 11, no. 2 (2017): 257–67. http://dx.doi.org/10.1108/ijesm-04-2016-0004.

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Purpose German, Austrian and Swiss utilities are confronted with radical changes in the European energy sector. A dialogue between the utility companies and their various groups of stakeholders is gaining importance. Increasingly, utilities create their own Facebook presence enabling such a dialogue. Still, to the best of the author’s knowledge there exists no research which explicitly focuses the stakeholder dialogue of German, Austrian or Swiss utilities on Facebook. Therefore, the purpose of this paper is to analyse Facebook as an instrument for dialogic communication in the energy sector.
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Lemmetty, Soila, and Kaija Collin. "Moment of dialogic leadership in Finnish IT organisation." Industrial and Commercial Training 52, no. 3 (2020): 195–207. http://dx.doi.org/10.1108/ict-01-2020-0007.

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Purpose The purpose of this study is to describe the construction of leadership through authentic dialogues at work and leaders’ actions as contributors to dialogic leadership. Design/methodology/approach The authors collected the data by recording the organisation’s meetings and discussions and used content analysis of dialogic leadership and typifying of critical moments as analytical methods. Findings On the basis of the findings, this paper suggests that dialogic leadership begins with a startup critical moment and progresses through the different positions by manager and employees through
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Martínez-Camino, Gonzalo. "Dialogicality and dialogue." Pragmatics. Quarterly Publication of the International Pragmatics Association (IPrA) 22, no. 4 (2012): 615–50. http://dx.doi.org/10.1075/prag.22.4.04mar.

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The aim of this article is to provide a theoretical and methodological contribution to the study of dialogue based on a dialogic conception of human communication (Bakhtin, Linell, Markova). From this perspective, it is postulated that the exchange is governed by the Principles of Dialogicality and Reciprocity and turns and contributions are defined as the constitutive elements of dialogue, representing two different levels of complexity. What is compared is how, on these two levels, the fictitious interlocutors of TV advertising dialogues, either Spanish or Mexican, try to influence each othe
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Monteiro, Rafael, Renata Ferraz de Toledo, and Pedro Roberto Jacobi. "Virtual Dialogues: A Method to Deal with Polarisation in a Time of Social Isolation Caused by COVID-19." Journal of Dialogue Studies 8 (2020): 113–33. http://dx.doi.org/10.55207/sxzt7920.

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How can a method of dialogue stimulate the learning of dialogic principles and practices in a virtual environment and contribute to the confrontation of social polarisation? This was the question that motivated the analysis and discussion of a project developed in Brazil during the months of May and June, 2020, which were characterised by the creation of three dialogue groups in a virtual environment (Google Meet). Throughout eight meetings, lasting one hour and a half each, the seventeen participants could learn and practice dialogue, through a method developed by the first author of this pap
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Arnett, Ronald C. "Dialogic hypertextuality." Towards Culture(s) of Dialogue 12, no. 2 (2022): 197–217. http://dx.doi.org/10.1075/ld.00122.arn.

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Abstract This essay demarcates between and among schools of dialogue, differentiating relational points of meaning origins. Contrasting dialogic roots constitute distinctions in social meaning and signification. Schools of dialogue embrace the relational interplay of address and response, with exchanges consisting of multiple simultaneous conversations. Their co-presence announces dialogic hypertextuality, which acknowledges and affirms multiple simultaneous conversations and meanings within a given encounter. No single interpreter or meaning captures dialogic existence; meanings push the boun
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Dissertations / Theses on the topic "Dialogue"

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Chinaei, Hamid Reza. "Learning Dialogue POMDP Model Components from Expert Dialogues." Thesis, Université Laval, 2013. http://www.theses.ulaval.ca/2013/29690/29690.pdf.

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Un système de dialogue conversationnel doit aider les utilisateurs humains à atteindre leurs objectifs à travers des dialogues naturels et efficients. C'est une tache toutefois difficile car les langages naturels sont ambiguës et incertains, de plus le système de reconnaissance vocale (ASR) est bruité. À cela s'ajoute le fait que l'utilisateur humain peut changer son intention lors de l'interaction avec la machine. Dans ce contexte, l'application des processus décisionnels de Markov partiellement observables (POMDPs) au système de dialogue conversationnel nous a permis d'avoir un cadre formel
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Lynn, Laura. "Dialogue as performance. Performance as dialogue." [Yellow Springs, Ohio] : Antioch University, 2008. http://etd.ohiolink.edu/view.cgi?acc_num=antioch1225369866.

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Thesis (Ph.D.)--Antioch University, 2008.<br>Title from PDF t.p. (viewed March 25, 2010). Advisor: Carolyn Kenny, Ph.D. "A dissertation submitted to the Ph.D. in Leadership and Change program of Antioch University in partial fulfillment of the requirements for the degree of Doctor of Philosophy 2008."--from the title page. Includes bibliographical references (p. 250-260).
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Hermannsdóttir, Sigríður Helga. "A dialogue manager for a spoken dialogue system." Thesis, McGill University, 1994. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=22529.

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One way to reduce the complexity of the speech recognition is to use syntactic, semantic and pragmatic information to predict the next input of the user. In spoken dialogue systems pragmatic information can include knowledge about the dialogue domain, dialogue context and dialogue focus. This thesis describes a dialogue manager for a spoken database retrieval system. The main design objectives were to create a tool that would facilitate the design of human-computer dialogues and to provide a language model to the speech recognizer containing the predictions of the next utterance. The dialogue
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Hong, Ran-E. "Le dialogue chez pascal : de la forme dialoguee a la dialectique." Paris 4, 1987. http://www.theses.fr/1986PA040257.

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Le probleme du dialogue chez pascal se fonde sur le constat d'un paradoxe: celui de l'absence quasi totale de forme dialoguee si l'on exclut quelques fragments de l'apologie et pourtant omnipresence du dialogue que ce soit sous forme de correspondance ou d'apostrophe. Le dialogue est partout et il est nulle part. Le dialogue chez pascal peut tout d'abord s'expliquer par les donnees de la personnalite de son auteur; ainsi il est revelateur de son temperament dialogique puisque aucune ligne de toute l'oeuvre de pascal n'a ete ecrite sans avoir present a l'esprit un interlocuteur. Le dialogue, c'
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Keňová, Ilona. "Body Dialogue." Master's thesis, Akademie múzických umění v Praze. Hudební fakulta AMU. Knihovna, 2006. http://www.nusl.cz/ntk/nusl-78838.

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Cubie, David Livingstone Jr. "Inner Dialogue." Kent State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=kent1209230788.

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Huggins, Matthew D. "Relational dialogue." Thesis, Massachusetts Institute of Technology, 2021. https://hdl.handle.net/1721.1/130695.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, February, 2021<br>Cataloged from the official PDF of thesis.<br>Includes bibliographical references (pages 77-81).<br>Conversational agents are increasingly common in everyday life. Dialogue with these agents is often limited to the task at hand, and is not focused on conversation as a shared social experience. Previous work has demonstrated that strengthening the user-agent relationship increases the agent's efficacy, and leads to a more enjoyable user experience. I present a rel
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Lambie, Anthony Graham. "Dialogue understanding and dialogue design : from science to engineering." Thesis, University College London (University of London), 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.394354.

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Muralidhar, Anjali. "Understanding dialogue: sentiment and topic analysis of dialogue transcripts." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/85449.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 52-53).<br>The field of natural language processing has had success in analyzing sentiment and topics on written text, but similar analysis on dialogue is more difficult due to the fragmented and informal nature of speech. This work explores sentiment and topic analysis on data from the Switchboard dialogue corpus, as well as a dataset of recorded dialogues between parents and children whi
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Hong, Ran-E. "Le Dialogue chez Pascal de la forme dialoguée à la dialectique /." Lille 3 : ANRT, 1988. http://catalogue.bnf.fr/ark:/12148/cb376059618.

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Books on the topic "Dialogue"

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Summers, Rowena. How to write realistic dialogue. Allison & Busby, 1994.

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name, No. Defining dialogue: From Socrates to the Internet. Humanity Books, 2004.

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Chinaei, Hamidreza, and Brahim Chaib-draa. Building Dialogue POMDPs from Expert Dialogues. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26200-0.

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Dascal, Marcelo, ed. Dialogue. John Benjamins Publishing Company, 1985. http://dx.doi.org/10.1075/pbcs.1.

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Gill, Evalyn P. Dialogue. Green River Press, 1985.

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Archibald, McKenzie, ed. Dialogue. Hong Kong University Press, 2010.

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Castoriadis, Cornelius. Dialogue. Editions de l'Aube, 1999.

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Bart, Harriet. Dialogue. Galerie Schüppenhauer, 1993.

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Lucas, Martyn. Dialogue. M. Lucas, 1995.

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editor, Kozłowski Jarosław 1945, Sieć (Art initiative), and Fundacja Profile, eds. Sieć--sztuka dialogu: Net--art of dialogue. Fundacja Profile, 2012.

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Book chapters on the topic "Dialogue"

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Kögler, Hans-Herbert. "Dialogue on dialogue." In The Gadamerian Mind. Routledge, 2021. http://dx.doi.org/10.4324/9780429202544-27.

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Salvo, Michael J. "Dialogue and Dialogic Ethics." In The Routledge Handbook of Ethics in Technical and Professional Communication. Routledge, 2025. https://doi.org/10.4324/9781003434375-16.

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Fitzgerald, Archbishop Michael L. "Nostra Aetate: Dialogue and Dialogues." In Catholicism Engaging Other Faiths. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98584-8_3.

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Sabharwal, Sharat. "Dialogue vs. no dialogue." In India's Pakistan Conundrum. Routledge India, 2022. http://dx.doi.org/10.4324/9781003148081-20.

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Toprak, Zerrin. "Dialogue." In Encyclopedia of Corporate Social Responsibility. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-28036-8_244.

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Anderson, Damian P. "Dialogue." In Using and Administering an Apollo Network. Macmillan Education UK, 1988. http://dx.doi.org/10.1007/978-1-349-10308-9_11.

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Nugues, Pierre M. "Dialogue." In Language Processing with Perl and Prolog. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41464-0_17.

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Leibniz, Gottfried Wilhelm. "Dialogue." In Philosophical Papers and Letters. Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-010-1426-7_18.

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Tint, Barbara, Julie Koehler, Mary Lind, Vincent Chirimwami, Roland Clarke, and Mindy Johnston. "DIALOGUE." In Diasporas in Dialogue. John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781119129813.ch6.

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McGee, John J., and Frank J. Menolascino. "Dialogue." In Beyond Gentle Teaching. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4757-9412-0_5.

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Conference papers on the topic "Dialogue"

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Cheng, Chuanqi, Quan Tu, Wei Wu, et al. "“In-Dialogues We Learn”: Towards Personalized Dialogue Without Pre-defined Profiles through In-Dialogue Learning." In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-main.581.

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Ismail, Jabri, Aboulbichr Ahmed, and El ouaazizi Aziza. "Improving a Sequence-to-sequence NLP Model using a Reinforcement Learning Policy Algorithm." In 12th International Conference on Artificial Intelligence, Soft Computing and Applications. Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.122317.

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Nowadays, the current neural network models of dialogue generation(chatbots) show great promise for generating answers for chatty agents. But they are short-sighted in that they predict utterances one at a time while disregarding their impact on future outcomes. Modelling a dialogue’s future direction is critical for generating coherent, interesting dialogues, a need that has led traditional NLP dialogue models that rely on reinforcement learning. In this article, we explain how to combine these objectives by using deep reinforcement learning to predict future rewards in chatbot dialogue. The
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Zhang, Yibo, Ping Gong, Zelin Wang, Zhe Li, and Xuanyuan Yang. "DialogMI: A Dialogue Model Based on Enhancing Dialogue Mutual Information." In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2023. http://dx.doi.org/10.1109/icassp49357.2023.10096036.

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Min, Qingkai, Libo Qin, Zhiyang Teng, Xiao Liu, and Yue Zhang. "Dialogue State Induction Using Neural Latent Variable Models." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/532.

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Dialogue state modules are a useful component in a task-oriented dialogue system. Traditional methods find dialogue states by manually labeling training corpora, upon which neural models are trained. However, the labeling process can be costly, slow, error-prone, and more importantly, cannot cover the vast range of domains in real-world dialogues for customer service. We propose the task of dialogue state induction, building two neural latent variable models that mine dialogue states automatically from unlabeled customer service dialogue records. Results show that the models can effectively fi
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Strub, Florian, Harm de Vries, Jérémie Mary, Bilal Piot, Aaron Courville, and Olivier Pietquin. "End-to-end optimization of goal-driven and visually grounded dialogue systems." In Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/385.

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End-to-end design of dialogue systems has recently become a popular research topic thanks to powerful tools such as encoder-decoder architectures for sequence-to-sequence learning. Yet, most current approaches cast human-machine dialogue management as a supervised learning problem, aiming at predicting the next utterance of a participant given the full history of the dialogue. This vision may fail to correctly render the planning problem inherent to dialogue as well as its contextual and grounded nature. In this paper, we introduce a Deep Reinforcement Learning method to optimize visually grou
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Pleva, Matus, Stanislav Ondas, and Jozef Juhar. "Automatic dialogue acts classification in Slovak dialogues." In 2015 25th International Conference Radioelektronika (RADIOELEKTRONIKA. IEEE, 2015. http://dx.doi.org/10.1109/radioelek.2015.7129037.

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Hu, Wenpeng, Zhangming Chan, Bing Liu, Dongyan Zhao, Jinwen Ma, and Rui Yan. "GSN: A Graph-Structured Network for Multi-Party Dialogues." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/696.

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Existing neural models for dialogue response generation assume that utterances are sequentially organized. However, many real-world dialogues involve multiple interlocutors (i.e., multi-party dialogues), where the assumption does not hold as utterances from different interlocutors can occur ``in parallel.'' This paper generalizes existing sequence-based models to a Graph-Structured neural Network (GSN) for dialogue modeling. The core of GSN is a graph-based encoder that can model the information flow along the graph-structured dialogues (two-party sequential dialogues are a special case). Expe
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Apresjan, Valentina, and Alexei Shmelev. "Russian adverbs of frequency: a lexicographic sketch." In Dialogue. RSUH, 2022. http://dx.doi.org/10.28995/2075-7182-2022-21-18-34.

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The paper is a corpus study of Russian frequency adverbs chasto ‘frequently’, zachastuju ‘often’, redko ‘rarely’, izredka ‘rarely’, etc. In Russian lexicographic tradition, frequency adverbs either lack separate entries and are explained via references to their adjectival counterparts or are treated exclusively as denotations of intervals between events. As our study demonstrates, this covers only a small fraction of their actual corpus usage. Many frequency adverbs can quantify over subjects, and thus resemble classical quantifiers such as ‘many’ or ‘few’. Even when frequency adverbs quantify
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Alibaeva, Kamila, and Natalia Loukachevitch. "Analyzing COVID-related Stance and Arguments using BERT-based Natural Language Inference." In Dialogue. RSUH, 2022. http://dx.doi.org/10.28995/2075-7182-2022-21-8-17.

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In this paper we present our approach for stance detection and premise classification from COVID-related messages developed for the RuArg-2022 evaluation. The methods are based on so-called NLI-setting (natural language inference) of BERT-based text classification (Sun et al., 2019), when the input of a model includes two sentences: a target sentence and a conclusion (for example, positive to masks). We also use translating Russian messages to English, which allows us to leverage COVID-trained BERT model. Besides, we use additional marking techniques of targeted entities. Our approach achieved
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Abrosimov, Kirill, and Arina Mosyagina. "Sodner for Russian nested named entity recognition." In Dialogue. RSUH, 2022. http://dx.doi.org/10.28995/2075-7182-2022-21-1-7.

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Reports on the topic "Dialogue"

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Salomon, R., H. Løvdal, and E. M. Osmundsen. “Workers’ Education Programme on Social Dialogue - Social Dialoge and Youth Employment”. Arbeidsforskningsinstituttet, 2007. http://dx.doi.org/10.7577/afi/fou/2007/4.

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Appadurai, Arjun. The Risks of Dialogue. Maria Sibylla Merian International Centre for Advanced Studies in the Humanities and Social Sciences Conviviality-Inequality in Latin America, 2018. http://dx.doi.org/10.46877/appadurai.2018.05.

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Sloss, Leon. The Current Nuclear Dialogue. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada385908.

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Bonial, Claire, and Clare Voss. Dialogue-AMR Annotation Guidelines. DEVCOM Army Research Laboratory, 2023. http://dx.doi.org/10.21236/ad1194325.

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Abrams, Mitchell, Claire Bonial, and Clare Voss. Dialogue-AMR Parsing Pipeline. DEVCOM Army Research Laboratory, 2022. http://dx.doi.org/10.21236/ad1167707.

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Walker, Marilyn, and Rebecca Passonneau. DATE: A Dialogue Act Tagging Scheme for Evaluation of Spoken Dialogue Systems. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada460992.

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Shrestha, Lisha. Dialogue in Identity-Based Conflict (Study of Intergroup-Dialogue with University Students). Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.2011.

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Allen, James. Rapidly Customizable Spoken Dialogue Systems. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada493272.

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Hughes, III, Henry Grady. The EPRDATA Format: A Dialogue. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1209459.

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Tetreault, Joel, and James Allen. Semantics, Dialogue, and Reference Resolution. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada454766.

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