Bibliografie tematiche / Dialogue

Letteratura scientifica selezionata sul tema "Dialogue"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 30 luglio 2024

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Articoli di riviste sul tema "Dialogue"

Tedlock, Dennis. "Dialogue and Dialogic". Journal of Linguistic Anthropology 7, n. 2 (dicembre 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, n. 2 (28 ottobre 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 paraphrased, and the use of direct address to the reader to invite or provoke the reader to enter into dialogue with the author. This essay is concerned to show how Montaigne uses the dialogue to create an entirely new genre, poised between monologue and dialogue.

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Martin, Sebastian. "Stakeholder dialogue on Facebook". International Journal of Energy Sector Management 11, n. 2 (5 giugno 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. Design/methodology/approach An online survey was distributed to 1,280 German, Austrian and Swiss utilities, and 14 per cent of the utilities completed the survey, including 130 German, 19 Austrian and 25 Swiss companies. The participating utilities are primarily in public ownership. Findings The Facebook conversation of utility companies and their stakeholders meets the basic requirements of a virtual stakeholder dialogue. Nevertheless, less than half of the companies perceive their current stakeholder conversation on Facebook as truly interactive. Therefore, even if the basic requirements of a dialogue are met, most companies still do not seem to fully use the dialogue potential of Facebook. Originality/value This study provides first insights into virtual stakeholder dialogues in the energy sector. A suggestion to operationalise such a virtual dialogue is provided. Both operationalisation as well as the empirical results help researchers and practitioners to better understand virtual stakeholder dialogues.

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Harvie, Jennifer, e Richard Paul Knowles. "Dialogic Monologue: A Dialogue". Theatre Research in Canada 15, n. 2 (gennaio 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, we are interested in looking at how the dialogism of the character's monologue might destabilize subjectivity. Looking at monologues from a range of contemporary Canadian scripts and performances, we will consider how the dialogic configuration of subjectivity affects gender, race, and sexuality. And considering that dialogism may be (as Helene Keyssar has argued it was for Bakhtin) "key to the deprivileging of absolute, authoritarian discourses," we are interested in what specific "authoritarian discourses" contemporary Canadian dialogic monologue deprivileges.

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Harvie, Jennifer, e Richard Paul Knowles. "Dialogic Monologue: A Dialogue". Theatre Research in Canada 15, n. 2 (settembre 1994): 136–63. http://dx.doi.org/10.3138/tric.15.2.136.

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O’Connor, Catherine, e Sarah Michaels. "When Is Dialogue ‘Dialogic’?" Human Development 50, n. 5 (2007): 275–85. http://dx.doi.org/10.1159/000106415.

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Martínez-Camino, Gonzalo. "Dialogicality and dialogue". Pragmatics. Quarterly Publication of the International Pragmatics Association (IPrA) 22, n. 4 (1 dicembre 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 other: What are the similarities and differences in the diversity of types of turn and types of contribution, their possible impacts and the multiplicity of their connections.

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Lemmetty, Soila, e Kaija Collin. "Moment of dialogic leadership in Finnish IT organisation". Industrial and Commercial Training 52, n. 3 (3 agosto 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 democratic interaction. Individual and collective level learning of participants and the formation of new knowledge were used in decision- or conclusion-making. The manager promoted the construction of dialogic leadership in conversation by creating important critical moments, which enabled a dialogue to start or contributed to already ongoing dialogue. Originality/value The study proposes concrete actions that can be applied in working life. This study provides a new understanding of the leader’s activities in promoting dialogue.

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Monteiro, Rafael, Renata Ferraz de Toledo e 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 paper, based on the ideas of David Bohm, William Isaacs, and Paulo Freire. To analyse the results, three categories were recognized: learning dialogue; dialogue and the virtual environment; dialogue, social isolation, and polarization. The results found indicated that virtual dialogues seem to encourage the learning of dialogic principles and practices and the promotion of the transformation of interpersonal relations with people of different points of view, showing the possible contribution of such a proposal to the confrontation of polarisation. We emphasise that this article is a first qualitative approximation regarding the method, and there is still a long way to go of scientific deepening in the field of dialogue studies in order to ascertain its effects and challenges. Therefore, we suggest future research on the method, in different application contexts.

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Arnett, Ronald C. "Dialogic hypertextuality". Towards Culture(s) of Dialogue 12, n. 2 (8 agosto 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 boundaries of any exchange, before, during, and after. Dialogic exchanges embody multiple discourses that call forth distinctive dimensions of meaning. As one speaks, multiple conversations, inclusive of previous and anticipatory dialogues, shape us. Conversation between and among persons dwells within an existential reality of dialogic hypertextuality.

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Tesi sul tema "Dialogue"

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 pour représenter explicitement les incertitudes, et automatiser la politique d'optimisation. L'estimation des composantes du modelé d'un POMDP-dialogue constitue donc un défi important, car une telle estimation a un impact direct sur la politique d'optimisation du POMDP-dialogue. Cette thèse propose des méthodes d'apprentissage des composantes d'un POMDPdialogue basées sur des dialogues bruités et sans annotation. Pour cela, nous présentons des méthodes pour apprendre les intentions possibles des utilisateurs à partir des dialogues, en vue de les utiliser comme états du POMDP-dialogue, et l'apprendre un modèle du maximum de vraisemblance à partir des données, pour transition du POMDP. Car c'est crucial de réduire la taille d'état d'observation, nous proposons également deux modèles d'observation: le modelé mot-clé et le modelé intention. Dans les deux modèles, le nombre d'observations est réduit significativement tandis que le rendement reste élevé, particulièrement dans le modele d'observation intention. En plus de ces composantes du modèle, les POMDPs exigent également une fonction de récompense. Donc, nous proposons de nouveaux algorithmes pour l'apprentissage du modele de récompenses, un apprentissage qui est basé sur le renforcement inverse (IRL). En particulier, nous proposons POMDP-IRL-BT qui fonctionne sur les états de croyance disponibles dans les dialogues du corpus. L'algorithme apprend le modele de récompense par l'estimation du modele de transition de croyance, semblable aux modèles de transition des états dans un MDP (processus décisionnel de Markov). Finalement, nous appliquons les méthodes proposées à un domaine de la santé en vue d'apprendre un POMDP-dialogue et ce essentiellement à partir de dialogues réels, bruités, et sans annotations.
Spoken dialogue systems should realize the user intentions and maintain a natural and efficient dialogue with users. This is however a difficult task as spoken language is naturally ambiguous and uncertain, and further the automatic speech recognition (ASR) output is noisy. In addition, the human user may change his intention during the interaction with the machine. To tackle this difficult task, the partially observable Markov decision process (POMDP) framework has been applied in dialogue systems as a formal framework to represent uncertainty explicitly while supporting automated policy solving. In this context, estimating the dialogue POMDP model components is a signifficant challenge as they have a direct impact on the optimized dialogue POMDP policy. This thesis proposes methods for learning dialogue POMDP model components using noisy and unannotated dialogues. Speciffically, we introduce techniques to learn the set of possible user intentions from dialogues, use them as the dialogue POMDP states, and learn a maximum likelihood POMDP transition model from data. Since it is crucial to reduce the observation state size, we then propose two observation models: the keyword model and the intention model. Using these two models, the number of observations is reduced signifficantly while the POMDP performance remains high particularly in the intention POMDP. In addition to these model components, POMDPs also require a reward function. So, we propose new algorithms for learning the POMDP reward model from dialogues based on inverse reinforcement learning (IRL). In particular, we propose the POMDP-IRL-BT algorithm (BT for belief transition) that works on the belief states available in the dialogues. This algorithm learns the reward model by estimating a belief transition model, similar to MDP (Markov decision process) transition models. Ultimately, we apply the proposed methods on a healthcare domain and learn a dialogue POMDP essentially from real unannotated and noisy dialogues.

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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.
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 model is data driven and the dialogue manager is integrated into a generic dialogue system. The role of the dialogue manager is to control the interaction between the user and the computer. When the user queries the database, the dialogue manager analyzes the input and if necessary, obtains the information still needed to formulate a valid query to the database.

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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'est encore un certain type d'ecriture qui prend pour point de depart la parole; partant du concret et du reel, le style de pascal est celui de l'honnete homme. Enfin, le dialogue est le choix delibere d'une methode de persuasion ou entre l'esthetique et la recherche, pascal peut opter pour les deux a la fois puisque l'un se calque sur l'autre a s'y meprendre. Mais qu'il s'agisse d'un interlocuteur reel ou fictif, le dialogue se definit d'emblee comme deperdition de soi et valorisation d'autrui. Il vise a la reduction d'une inegalite. Mais l'art du dialogue ne consiste pas a faire sentir a son interlocuteur l'inegalite preexistante, mais bien au contraire a mettre celui-ci un peu au-dessus de soi. Ainsi le dialogue est toujours relation d'amour ou l'un donne plus qu'il ne recoit.

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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
Cataloged from the official PDF of thesis.
Includes bibliographical references (pages 77-81).
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 relationship-driven dialogue system that aims to strengthen and expand the relationship between the agent and user. The system uses a knowledge graph to represent relevant information about the world and the agent's and user's preferences. When choosing a response, a novel probabilistic approach, called MRF-Chat, models the mutual knowledge of the agent and the user, as well as the contextual relevance of concepts in candidate responses. In human evaluations, the system was considered significantly more collaborative, engaging, and trusted by human partners in a semi-structured interaction on food preferences.
by Matthew D. Huggins.
M. Eng.
M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science

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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.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 52-53).
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 while reading an interactive e-book. The goal was to be able to identify the emotion and mood of the dialogue in order to make inferences about what parents and children generally talk about when reading the book because conversations between an adult and child while reading a book can greatly contribute to the learning and development of young children.
by Anjali Muralidhar.
M. Eng.

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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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Libri sul tema "Dialogue"

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

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

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

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Dascal, Marcelo, a cura di. Dialogue. Amsterdam: John Benjamins Publishing Company, 1985. http://dx.doi.org/10.1075/pbcs.1.

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Gill, Evalyn P. Dialogue. University Center, Mich: Green River Press, 1985.

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Archibald, McKenzie, a cura di. Dialogue. Hong Kong: Hong Kong University Press, 2010.

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Castoriadis, Cornelius. Dialogue. [La Tour d'Aigues]: Editions de l'Aube, 1999.

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Bart, Harriet. Dialogue. Köln: Galerie Schüppenhauer, 1993.

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Lucas, Martyn. Dialogue. London: M. Lucas, 1995.

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editor, Kozłowski Jarosław 1945, Sieć (Art initiative) e Fundacja Profile, a cura di. Sieć--sztuka dialogu: Net--art of dialogue. Warszawa: Fundacja Profile, 2012.

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Capitoli di libri sul tema "Dialogue"

Kögler, Hans-Herbert. "Dialogue on dialogue". In The Gadamerian Mind, 288–303. London: Routledge, 2021. http://dx.doi.org/10.4324/9780429202544-27.

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Fitzgerald, Archbishop Michael L. "Nostra Aetate: Dialogue and Dialogues". In Catholicism Engaging Other Faiths, 25–39. Cham: 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, 209–16. London: Routledge India, 2022. http://dx.doi.org/10.4324/9781003148081-20.

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Toprak, Zerrin. "Dialogue". In Encyclopedia of Corporate Social Responsibility, 791–97. Berlin, Heidelberg: 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, 216–43. London: 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, 553–74. Berlin, Heidelberg: 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, 182–85. Dordrecht: 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 e Mindy Johnston. "DIALOGUE". In Diasporas in Dialogue, 62–130. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781119129813.ch6.

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McGee, John J., e Frank J. Menolascino. "Dialogue". In Beyond Gentle Teaching, 93–111. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4757-9412-0_5.

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Graham, Robert. "Dialogue". In How To Write Fiction (And Think About It), 88–92. London: Macmillan Education UK, 2007. http://dx.doi.org/10.1007/978-0-230-20789-9_10.

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Atti di convegni sul tema "Dialogue"

Ismail, Jabri, Aboulbichr Ahmed e 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 model simulates conversations between two virtual agents, with policy gradient methods used to reward sequences that exhibit three useful conversational characteristics: the flow of informality, coherence, and simplicity of response (related to forward-looking function). We assess our model based on its diversity, length, and complexity with regard to humans. In dialogue simulation, evaluations demonstrated that the proposed model generates more interactive responses and encourages a more sustained successful conversation. This work commemorates a preliminary step toward developing a neural conversational model based on the long-term success of dialogues.

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Zhang, Yibo, Ping Gong, Zelin Wang, Zhe Li e 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 e 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}. California: 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 find meaningful dialogue states. In addition, equipped with induced dialogue states, a state-of-the-art dialogue system gives better performance compared with not using a dialogue state module.

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Strub, Florian, Harm de Vries, Jérémie Mary, Bilal Piot, Aaron Courville e Olivier Pietquin. "End-to-end optimization of goal-driven and visually grounded dialogue systems". In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: 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 grounded task-oriented dialogues, based on the policy gradient algorithm. This approach is tested on the question generation task from the dataset GuessWhat?! containing 120k dialogues and provides encouraging results at solving both the problem of generating natural dialogues and the task of discovering a specific object in a complex picture.

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Pleva, Matus, Stanislav Ondas e 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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Apresjan, Valentina, e 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 over predicates, they mostly refer not to intervals between events, but merely to their number. In some cases, they quantify over aspects of events, expressed by adjectives. There are also other important properties of Russian frequency adverbs missed by the dictionaries yet revealed by corpus analysis. Most frequency adverbs have a strong preference for topic or focus position, as motivated by their semantics. Some adverbs are preferable in generalized contexts, while others refer to specific events. Certain adverbs describe violations of the norm or undesirable events. Different adverbs quantify over different time periods: while some require a long time period, others may focus on very short stretches of time.

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Alibaeva, Kamila, e 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 the best results on both RuArg-2022 tasks. We also studied the contribution of marking techniques across datasets, tasks, models and languages of RuArg evaluation. We found that "<A:ASPECT> keyword </A:ASPECT>” gave the highest average increase over corresponding basic methods.

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Abrosimov, Kirill, e 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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Артемова, Е. Л., М. В. Змеев, Н. В. Лукашевич, И. C. Рожков, Т. В. Батура, В. В. Иванов e Е. В. Тутубалина. "Соревнование RuNNE-2022: извлечение вложенных именованных сущностей". In Dialogue. RSUH, 2022. http://dx.doi.org/10.28995/2075-7182-2022-21-33-41.

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Dobrovolskii, Vladimir, Mariia Michurina e Alexandra Ivoylova. "RuCoCo: a new Russian corpus with coreference annotation". In Dialogue. RSUH, 2022. http://dx.doi.org/10.28995/2075-7182-2022-21-141-149.

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We present a new corpus with coreference annotation, Russian Coreference Corpus (RuCoCo). The goal of RuCoCo is to obtain a large number of annotated texts while maintaining high inter-annotator agreement. RuCoCo contains news texts in Russian, part of which were annotated from scratch, and for the rest the machine-generated annotations were refined by human annotators. The size of our corpus is one million words and around 150,000 mentions. We make the corpus publicly available.

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Rapporti di organizzazioni sul tema "Dialogue"

Salomon, R., H. Løvdal e E. M. Osmundsen. “Workers’ Education Programme on Social Dialogue - Social Dialoge and Youth Employment”. Oslo: 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, luglio 2018. http://dx.doi.org/10.46877/appadurai.2018.05.

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

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Bonial, Claire, e Clare Voss. Dialogue-AMR Annotation Guidelines. Aberdeen Proving Ground, MD: DEVCOM Army Research Laboratory, febbraio 2023. http://dx.doi.org/10.21236/ad1194325.

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Walker, Marilyn, e Rebecca Passonneau. DATE: A Dialogue Act Tagging Scheme for Evaluation of Spoken Dialogue Systems. Fort Belvoir, VA: Defense Technical Information Center, gennaio 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, gennaio 2000. http://dx.doi.org/10.15760/etd.2011.

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Allen, James. Rapidly Customizable Spoken Dialogue Systems. Fort Belvoir, VA: Defense Technical Information Center, gennaio 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), agosto 2015. http://dx.doi.org/10.2172/1209459.

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

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Biermann, Alan W. Dialogue Theory for Virtual Environments. Fort Belvoir, VA: Defense Technical Information Center, gennaio 1995. http://dx.doi.org/10.21236/ada300741.

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