Relevant bibliographies by topics / Natural conversation

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Natural conversation'

Author: Grafiati
Published: 25 May 2024
Last updated: 19 July 2025

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Journal articles on the topic "Natural conversation"

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Dipta, Dinar. "Conversation Analysis as a Discourse Approach to Teaching Speaking Skill." JETLe (Journal of English Language Teaching and Learning) 1, no. 1 (2019): 1. http://dx.doi.org/10.18860/jetle.v1i1.7718.

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<p>Conversation comes as two ways communication used in daily activities. The large numbers of conversations lead some researchers to analyze it. Conversation has been the primary interest to language researchers since natural, unplanned, everyday conversation is the most commonly occurring and universal language genre (Riggenbach, 1999). Conversation is a speech activity in which all members of a community routinely participate. Among other approaches to discourse analysis used in teaching speaking, conversation analysis (CA) is one of the convenient practical devices in teaching oral E
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Joty, S., G. Carenini, and R. T. Ng. "Topic Segmentation and Labeling in Asynchronous Conversations." Journal of Artificial Intelligence Research 47 (July 22, 2013): 521–73. http://dx.doi.org/10.1613/jair.3940.

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Topic segmentation and labeling is often considered a prerequisite for higher-level conversation analysis and has been shown to be useful in many Natural Language Processing (NLP) applications. We present two new corpora of email and blog conversations annotated with topics, and evaluate annotator reliability for the segmentation and labeling tasks in these asynchronous conversations. We propose a complete computational framework for topic segmentation and labeling in asynchronous conversations. Our approach extends state-of-the-art methods by considering a fine-grained structure of an asynchr
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Saifudin, Akhmad. "Implikatur Percakapan dalam Studi Linguistik Pragmatik (Conversational Implicature in Pragmatic Linguistic Studies)." JALABAHASA 16, no. 1 (2020): 15. http://dx.doi.org/10.36567/jalabahasa.v16i1.423.

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Tulisan ini membahas implikatur percakapan, yakni sebuah studi dalam ilmu linguistik pragmatik yang mengkaji maksud penutur dalam percakapan. Tujuan penulisan ini adalah untuk mendeskripsikan apa itu implikatur percakapan, bagaimana mengidentifikasi dan memaknai implikatur, serta mengapa penutur menggunakan implikatur dalam tuturannya. Untuk mengkaji permasalahan digunakan teori Grice tentang prinsip kerja sama (PK), maksim percakapan (MP), dan implikatur percakapan. Data percakapan diperoleh dari observasi percakapan natural antara penulis dan mahasiswa, serta percakapan di antara mahasiswa y
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Althoff, Tim, Kevin Clark, and Jure Leskovec. "Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health." Transactions of the Association for Computational Linguistics 4 (December 2016): 463–76. http://dx.doi.org/10.1162/tacl_a_00111.

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Mental illness is one of the most pressing public health issues of our time. While counseling and psychotherapy can be effective treatments, our knowledge about how to conduct successful counseling conversations has been limited due to lack of large-scale data with labeled outcomes of the conversations. In this paper, we present a large-scale, quantitative study on the discourse of text-message-based counseling conversations. We develop a set of novel computational discourse analysis methods to measure how various linguistic aspects of conversations are correlated with conversation outcomes. A
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Nishfullayli, Sa'idatun, Lea Santiar, and Harni Kartika Ningsih. "Discourse Structure Analysis of Making Request in Japanese Conversation." JAPANEDU: Jurnal Pendidikan dan Pengajaran Bahasa Jepang 8, no. 2 (2023): 94–110. http://dx.doi.org/10.17509/japanedu.v8i2.61548.

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Making requests (irai) is a genre of spoken interaction that is taught from the basic level of learning Japanese as a foreign language. A request is one of the speech acts that may raise face-threatening potentials. Understanding the stages of request appropriate to Japanese culture is thus essential for Japanese learners to achieve successful conversation. Therefore, conversation pedagogy by using a discourse approach is essential. This study investigates a potential structure gap in Japanese making-requests conversations realized in actual settings and textbook conversational models. By empl
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McGRATH, LARRY S. "Quit Playing Language Games with My Heart; or, Conversational AI and Knowledge Sharing." Ethnographic Praxis in Industry Conference Proceedings 2024, no. 1 (2024): 255–76. https://doi.org/10.1111/epic.12205.

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This paper shares guidance for designing conversational AI based on findings from linguistic and social analysis of core shifts introduced by large language models. When Duolingo and Babbel added AI features to their language learning apps, the games that users play on the apps was transformed, giving us a window into the structure of AI‐driven user interactions in general. Dynamic, turn‐taking dialogues resembling natural conversation now appear alongside multiple‐choice and drag‐and‐drop vocabulary games. The transformation is not just technological: It also lays bare the shifting language g
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Hassan, Mahmudul, Shahriar Shakil, Nazmun Nessa Moon, et al. "Sentiment analysis on Bangla conversation using machine learning approach." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 5 (2022): 5562. http://dx.doi.org/10.11591/ijece.v12i5.pp5562-5572.

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<span>Nowadays, online communication is more convenient and popular than face-to-face conversation. Therefore, people prefer online communication over face-to-face meetings. Enormous people use online chatting systems to speak with their loved ones at any given time throughout the world. People create massive quantities of conversation every second because of their online engagement. People's feelings during the conversation period can be gleaned as useful information from these conversations. Text analysis and conclusion of any material as summarization can be done using sentiment analy
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Mahmudul, Hassan, Shakil Shahriar, Nessa Moon Nazmun, et al. "Sentiment analysis on Bangla conversation using machine learning approach." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 5 (2022): Detection approach. https://doi.org/10.11591/ijece.v12i5.pp5562-5572.

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Nowadays, online communication is more convenient and popular than face-to-face conversation. Therefore, people prefer online communication over face-to-face meetings. Enormous people use online chatting systems to speak with their loved ones at any given time throughout the world. People create massive quantities of conversation every second because of their online engagement. People's feelings during the conversation period can be gleaned as useful information from these conversations. Text analysis and conclusion of any material as summarization can be done using sentiment analysis by n
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Wimbassa, Muhamad Dwirizqy, Taswiyah Marsyah Noor, Salma Yasara, Vannesha Vannesha, Tubagus Muhammad Arsyah, and Abdiansah Abdiansah. "Emotional Text Detection dengan Long Short Term Memory (LSTM)." Format : Jurnal Ilmiah Teknik Informatika 12, no. 2 (2023): 158. http://dx.doi.org/10.22441/format.2023.v12.i2.009.

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Emotional Text Detection is a technique in natural language processing that aims to identify the emotions contained in conversations or text messages. The LSTM (Long Short-Term Memory) method is one of the techniques used in natural language processing to model and predict sequential data. In this study, we propose the use of the LSTM method for emotion detection in conversation. The dataset used is a conversational dataset that contains positive, negative, and neutral emotions. We process datasets using data pre-processing techniques such as tokenization, data cleansing and one-hot encoding.
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Ansari, Tarique. "Conversational AI Assistant." International Journal for Research in Applied Science and Engineering Technology 10, no. 11 (2022): 1169–72. http://dx.doi.org/10.22214/ijraset.2022.47554.

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Abstract: A conversational assistant is an intelligent conversational computing system designed to mimic human speech to provide automated online guidance and support. The growing benefits of conversational support have led to widespread adoption across many industries to provide virtual support to their customers. Conversation assistance uses methods and algorithms from his two fields of artificial intelligence: natural language processing and machine learning. However, the application has many challenges and limitations. This research reviews recent advances in conversation support using art
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Dissertations / Theses on the topic "Natural conversation"

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Dalacorte, Maria Cristina Faria. "Natural conversation and efltextbook dialogues : a constrastive study." reponame:Repositório Institucional da UFSC, 1991. https://repositorio.ufsc.br/xmlui/handle/123456789/157696.

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Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro de Comunicação e Expressão<br>Made available in DSpace on 2016-01-08T17:10:36Z (GMT). No. of bitstreams: 1 84295.pdf: 1903258 bytes, checksum: 45c467c4c73cf96b76630645a7fc3cda (MD5) Previous issue date: 1991<br>Examina características estruturais, estratégicas e estilísticas de interações comerciais e conversações por telefone em inglês e português comparadas com diálogos escritos de livros para o ensino de língua inglesa. Estes livros afirmam ensinar inglês através de diálogos reais. Esta análise verifica se as conversa
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au, os goh@murdoch edu, and Ong Sing Goh. "A framework and evaluation of conversation agents." Murdoch University, 2008. http://wwwlib.murdoch.edu.au/adt/browse/view/adt-MU20081020.134601.

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This project details the development of a novel and practical framework for the development of conversation agents (CAs), or conversation robots. CAs, are software programs which can be used to provide a natural interface between human and computers. In this study, ‘conversation’ refers to real-time dialogue exchange between human and machine which may range from web chatting to “on-the-go” conversation through mobile devices. In essence, the project proposes a “smart and effective” communication technology where an autonomous agent is able to carry out simulated human conversation via multipl
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Niekrasz, John Joseph. "Toward summarization of communicative activities in spoken conversation." Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/6449.

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This thesis is an inquiry into the nature and structure of face-to-face conversation, with a special focus on group meetings in the workplace. I argue that conversations are composed of episodes, each of which corresponds to an identifiable communicative activity such as giving instructions or telling a story. These activities are important because they are part of participants’ commonsense understanding of what happens in a conversation. They appear in natural summaries of conversations such as meeting minutes, and participants talk about them within the conversation itself. Episodic communic
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Goh, Ong Sing. "A framework and evaluation of conversation agents." Thesis, Goh, Ong Sing (2008) A framework and evaluation of conversation agents. PhD thesis, Murdoch University, 2008. https://researchrepository.murdoch.edu.au/id/eprint/752/.

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This project details the development of a novel and practical framework for the development of conversation agents (CAs), or conversation robots. CAs, are software programs which can be used to provide a natural interface between human and computers. In this study, ‘conversation’ refers to real-time dialogue exchange between human and machine which may range from web chatting to “on-the-go” conversation through mobile devices. In essence, the project proposes a “smart and effective” communication technology where an autonomous agent is able to carry out simulated human conversation via multipl
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Goh, Ong Sing. "A framework and evaluation of conversation agents." Goh, Ong Sing (2008) A framework and evaluation of conversation agents. PhD thesis, Murdoch University, 2008. http://researchrepository.murdoch.edu.au/752/.

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This project details the development of a novel and practical framework for the development of conversation agents (CAs), or conversation robots. CAs, are software programs which can be used to provide a natural interface between human and computers. In this study, ‘conversation’ refers to real-time dialogue exchange between human and machine which may range from web chatting to “on-the-go” conversation through mobile devices. In essence, the project proposes a “smart and effective” communication technology where an autonomous agent is able to carry out simulated human conversation via multipl
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Comuni, Federica. "A natural language processing solution to probable Alzheimer’s disease detection in conversation transcripts." Thesis, Högskolan Kristianstad, Fakulteten för naturvetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-19889.

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This study proposes an accuracy comparison of two of the best performing machine learning algorithms in natural language processing, the Bayesian Network and the Long Short-Term Memory (LSTM) Recurrent Neural Network, in detecting Alzheimer’s disease symptoms in conversation transcripts. Because of the current global rise of life expectancy, the number of seniors affected by Alzheimer’s disease worldwide is increasing each year. Early detection is important to ensure that affected seniors take measures to relieve symptoms when possible or prepare plans before further cognitive decline occurs.
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Fuscone, Simone. "A data intensive approach for characterizing speech interpersonal dynamics in natural conversations." Electronic Thesis or Diss., Aix-Marseille, 2020. http://www.theses.fr/2020AIXM0444.

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Lors d’une conversation, les participants ont la tendance à accorder, consciemment ou non, leur production communicative par rapport à leur interlocuteur. Il est généralement admis que dans des circonstances normales, ce phénomène entraîne une convergence des paramètres de parole des deux participants. Il est généralement connu que dans des circonstances normales, ce phénomène génère une convergence des paramètres du discours des deux participants. Alors que ces études impliquent souvent des conditions de laboratoire contrôlées, les mécanismes qui régissent le phénomène dans les conversations
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Cuenca, Montesino José María. "L’application WhatsApp dans la négociation franco-espagnole : un catalyseur de la confiance interculturelle." Thesis, Paris 10, 2017. http://www.theses.fr/2017PA100128/document.

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La convergence entre les technologies de l’information et de la communication et l’informatique a pour conséquence l’atténuation des frontières spatio-temporelles. La révolution induite par la téléphonie mobile trouve son paroxysme dans le smartphone, une génération de téléphones intelligents qui intègrent des fonctions propres à l’informatique, dont les applications. Grâce à celles-ci, la communication mobiquitaire devient un fait quotidien. L’application gratuite de messagerie instantanée WhatsApp apparait en 2009, et connaît un succès fulgurant en Espagne. Son utilisation provoque l’émergen
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Liu, Yulan. "Distant speech recognition of natural spontaneous multi-party conversations." Thesis, University of Sheffield, 2017. http://etheses.whiterose.ac.uk/17691/.

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Distant speech recognition (DSR) has gained wide interest recently. While deep networks keep improving ASR overall, the performance gap remains between using close-talking recordings and distant recordings. Therefore the work in this thesis aims at providing some insights for further improvement of DSR performance. The investigation starts with collecting the first multi-microphone and multi-media corpus of natural spontaneous multi-party conversations in native English with the speaker location tracked, i.e. the Sheffield Wargame Corpus (SWC). The state-of-the-art recognition systems with the
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Campbell, Robert. "Understanding and disrupting institutional settings : using networks of conversations to re-imagine future farming lives." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2013. https://ro.ecu.edu.au/theses/603.

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Farmers in Australia and elsewhere face the challenge of remaining profitable whilst dealing with adverse structural arrangements and public expectations to better manage environmental degradation. This thesis draws on arguments that dominant paradigms in agricultural science and environmental management have often been ineffective in addressing these apparently competing demands and appear poorly suited to ‘messy’ situations characterized by uncertainty and complexity, and in which diverse stakeholders are motivated by varying goals and values. Engaging with such situations requires a philoso
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Books on the topic "Natural conversation"

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Houck, Nöel. Pragmatics: Teaching natural conversation. Teachers Of English, 2011.

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Mizutani, Osamu. Natural Japanese 1. Sony, 1986.

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International Workshop on Natural, Intelligent and Effective Interaction in Multimodal Dialogue Systems (2002 : Copenhagen, Denmark). Advances in natural multimodal dialogue systems. Springer, 2004.

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van, Kuppevelt Jan, Dybkjær Laila 1959-, and Bernsen Niels Ole, eds. Advances in natural multimodal dialogue systems. Springer, 2005.

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Principe, Walter H. De veritate humanae naturae: Theology in conversation with biology, medicine, and philosophy of nature. Finnish Society for Missiology and Ecumenics, 1990.

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Darroch, John. Chinese self taught: By the natural method with phonetic pronunciation (Thimm's system). Asian Educational Services, 1999.

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Os, Leonard W. Van. Afrikaans self taught: By the natural method with phonetic pronunciation (Thimm's system). Asian Educational Services, 1999.

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Attaoullah, Fuad A. Turkish self-taught: By natural method with English phonetic pronunciation, revised, and enlarged vocabularies and phrases. Asian Educational Services, 2003.

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Pertemuan Regional Pengelolaan Taman Nasional Kawasan Timur Indonesia (1999 Manado, Indonesia). Pertemuan Regional Pengelolaan Taman Nasional Kawasan Timur Indonesia: Kelembagaan pengelolaan taman nasional. [Natural Resources Management/EPIQ Program, 1999.

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O'Beirne, John J. R. Serbo-Croatian self taught: By the natural method with the English phonetic pronunciation (Thimm's system). Asian Educational Services, 1999.

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Book chapters on the topic "Natural conversation"

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Fujishin, Randy. "Conversation." In Natural Bridges in Interpersonal Communication, 3rd ed. Routledge, 2024. http://dx.doi.org/10.4324/9781003327172-6.

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Fujishin, Randy. "Conversation." In Natural Bridges in Interpersonal Communication. Routledge, 2019. http://dx.doi.org/10.4324/9780429196935-6.

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Moore, Robert J. "A Natural Conversation Framework for Conversational UX Design." In Human–Computer Interaction Series. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95579-7_9.

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Jefferson, Gail. "A sketch of some orderly aspects of overlap in natural conversation." In Conversation Analysis. John Benjamins Publishing Company, 2004. http://dx.doi.org/10.1075/pbns.125.05jef.

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Szczepek Reed, Beatrice. "Intonation phrases in natural conversation." In Prosody in Interaction. John Benjamins Publishing Company, 2010. http://dx.doi.org/10.1075/sidag.23.16ree.

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Zhuang, Yimeng, Xianliang Wang, Han Zhang, Jinghui Xie, and Xuan Zhu. "An Ensemble Approach to Conversation Generation." In Natural Language Processing and Chinese Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73618-1_5.

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Hazel, Spencer, and Adam Brandt. "Enhancing the Natural Conversation Experience Through Conversation Analysis – A Design Method." In HCI International 2023 – Late Breaking Papers. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-48038-6_6.

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Drescher, Martina. "The negotiation of affect in natural conversation." In Negotiation and Power in Dialogic Interaction. John Benjamins Publishing Company, 2001. http://dx.doi.org/10.1075/cilt.214.16dre.

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Wang, Yida, Pei Ke, Yinhe Zheng, et al. "A Large-Scale Chinese Short-Text Conversation Dataset." In Natural Language Processing and Chinese Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60450-9_8.

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Bai, Guirong, Shizhu He, Kang Liu, and Jun Zhao. "Variational Attention for Commonsense Knowledge Aware Conversation Generation." In Natural Language Processing and Chinese Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32233-5_1.

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Conference papers on the topic "Natural conversation"

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Choi, Bonggeun, JeongJae Park, Yoonsung Kim, Jaehyun Park, and Youngjoong Ko. "RAC: Retrieval-augmented Conversation Dataset for Open-domain Question Answering in Conversational Settings." In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-industry.108.

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Ashby, Trevor, Adithya Kulkarni, Jingyuan Qi, et al. "Towards Effective Long Conversation Generation with Dynamic Topic Tracking and Recommendation." In Proceedings of the 17th International Natural Language Generation Conference. Association for Computational Linguistics, 2024. https://doi.org/10.18653/v1/2024.inlg-main.43.

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Zheng, Zhonghua, Lizi Liao, Yang Deng, Ee-Peng Lim, Minlie Huang, and Liqiang Nie. "Thoughts to Target: Enhance Planning for Target-driven Conversation." 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.1175.

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Cadilhac, Anaïs, Nicholas Asher, Farah Benamara, and Alex Lascarides. "Grounding Strategic Conversation: Using Negotiation Dialogues to Predict Trades in a Win-Lose Game." In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2013. http://dx.doi.org/10.18653/v1/d13-1035.

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Won, Jong-In, Jin-Won Ko, and Jin-Woo Jung. "Recognition of User's Activeness and Consistency During Conversation and Its Application to More Natural Speech Generation." In 2025 17th International Conference on Knowledge and Smart Technology (KST). IEEE, 2025. https://doi.org/10.1109/kst65016.2025.11003293.

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Zhang, Dong, Liangqing Wu, Changlong Sun, Shoushan Li, Qiaoming Zhu, and Guodong Zhou. "Modeling both Context- and Speaker-Sensitive Dependence for Emotion Detection in Multi-speaker Conversations." 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.2019/752.

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Recently, emotion detection in conversations becomes a hot research topic in the Natural Language Processing community. In this paper, we focus on emotion detection in multi-speaker conversations instead of traditional two-speaker conversations in existing studies. Different from non-conversation text, emotion detection in conversation text has one specific challenge in modeling the context-sensitive dependence. Besides, emotion detection in multi-speaker conversations endorses another specific challenge in modeling the speaker-sensitive dependence. To address above two challenges, we propose
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Aubrey, Andrew J., David Marshall, Paul L. Rosin, Jason Vendeventer, Douglas W. Cunningham, and Christian Wallraven. "Cardiff Conversation Database (CCDb): A Database of Natural Dyadic Conversations." In 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2013. http://dx.doi.org/10.1109/cvprw.2013.48.

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Watson, Jan, Adrian Curtin, Yigit Topoglu, et al. "Natural Language Processing to Assess Communication Dynamics between Cooperating Dyads during Video Gameplay." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001827.

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Latent Dirichlet Allocation (LDA) and Sentiment Analysis have become prominent tools in natural language processing applications for both research and industry. While LDA is a generative probabilistic modeling methodology that is widely used in Topic Modeling to extract underlying themes and topics from a collection of words, Sentiment Analysis is defined as identifying the hedonic tone of a corpus of text. Here, supervised Sentiment Analysis is used to classify conversations between team gaming dyads in terms of valence. Additionally, LDA is utilized to label segments of cooperative conversat
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Zhang, Zhishuo, Yu Sun, and Ryan Yan. "An Intelligent Mobile Application for Depression Relief using Artificial Intelligence and Natural Language Processing." In 8th International Conference on Artificial Intelligence (ARIN 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.121006.

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“What is an simple yet effective method to improve the mental health of individuals?” is the question that we chose to tackle [7]. The solution that we came up with was having a deep conversation with another person. From personal experiences, having deep conversations with another person seemed to be one of the most effective ways to keep someone's mental health issues under control and maintain a more positive outlook on life. Sharing similar experiences with another person can demonstrate to people that they are not alone and there is always someone who can relate to them and lead them down
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Tyen, Gladys, Andrew Caines, and Paula Buttery. "LLM chatbots as a language practice tool: a user study." In 13th Workshop on Natural Language Processing for Computer Assisted Language Learning. Linköping University Electronic Press, 2024. http://dx.doi.org/10.3384/ecp211018.

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Second language learners often experience language anxiety when speaking with others in their target language. As the generative capabilities of Large Language Models (LLMs) continue to improve, we investigate the possibility of using an LLM as a conversation practice tool. We conduct a user study with 160 English language learners, where an LLM chatbot is used to simulate real-world conversations. We present our findings on 1) how an interactive session with a chatbot might impact performance in real-world conversations; 2) whether the learning experience differs for learners of different pro
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Reports on the topic "Natural conversation"

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Traum, David R. Towards a Computational Theory of Grounding in Natural Language Conversation. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada248777.

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Arnup, Katherine. Family Perspectives: Death and Dying in Canada. The Vanier Institute of the Family, 2018. http://dx.doi.org/10.61959/prxz1798e.

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Death is a natural part of life, but many Canadians are hesitant to have essential conversations about the end of their lives. The Vanier Institute of the Family seeks to change this with the publication of Family Perspectives: Death and Dying in Canada, a conversation catalyst intended to spark dialogue in households, workplaces and communities across the country by exploring death and dying through a family lens. Family Perspectives: Death and Dying in Canada examines the evolution of death and dying in Canada across generations, the desires and realities of families surrounding death and dy
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Archibeque, Ben, Kari O'Connell, Isabel Delgado, Christopher Nytch, Nancy Merlo, and Emily Ortiz Franco. Public Engagement with Science at Luquillo-Long-Term Ecological Research Program: Results from a Case Study. Oregon State University, 2023. http://dx.doi.org/10.5399/osu/1174.

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The goals of this work are to a) understand community perspectives related to public engagement with science and the Luquillo Long Term Ecological Research (LUQ-LTER) program, b) enhance existing relationships within these communities, and c) illuminate opportunities for establishing new relationships between the LUQ-LTER program and its surrounding community. We share results from our case study that includes three methods of data collection: interviews with natural resource managers, a community conversation activity with 12 local community organizations, and a survey given at a public outre
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Imel, Zac, Ming Tai-Seale, Padhraic Smyth, and David Atkins. Identifying Topics in Patient and Doctor Conversations Using Natural Language Processing Methods. Patient-Centered Outcomes Research Institute (PCORI), 2021. http://dx.doi.org/10.25302/08.2021.me.160234167.

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Mangrulkar, Amol, Archita Suryanarayanan, Elizabeth Shilpa Abraham, et al. Built environment in IIHS campus, Kengeri. Edited by Aromar Revi, Rahul Mehotra, and Sanjay Prakash. Indian Institute for Human Settlements, 2024. https://doi.org/10.24943/9788198702364.

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The IIHS Campus, Kengeri sits at the intersection of the Ramasagara Lake, Sulikere Forest and an urban settlement, making it an excellent site to examine the interconnectedness between natural systems and the built environment. The Campus aspires to become an archetype of a safe space for humans and nature alike, to build eco-friendly and climate resilient structures, and to establish a living lab that brings together people and ideas from multiple disciplines to overcome challenges of rapid urbanisation, growing population and a heating planet. The BUILT ENVIRONMENT Box Set contains books tha
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Chew, Robert F., Kirsty J. Weitzel, Peter Baumgartner, et al. Improving Text Classification with Boolean Retrieval for Rare Categories: A Case Study Identifying Firearm Violence Conversations in the Crisis Text Line Database. RTI Press, 2023. http://dx.doi.org/10.3768/rtipress.2023.mr.0050.2304.

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Advancements in machine learning and natural language processing have made text classification increasingly attractive for information retrieval. However, developing text classifiers is challenging when no prior labeled data are available for a rare category of interest. Finding instances of the rare class using a uniform random sample can be inefficient and costly due to the rare category’s low base rate. This work presents an approach that combines the strengths of text classification and Boolean retrieval to help learn rare concepts of interest. As a motivating example, we use the task of f
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Bhatikar, Tanvi. Cities in Flux 2023: IIHS Annual Research Conference Proceedings. Indian Institute for Human Settlements, 2023. http://dx.doi.org/10.24943/9788195847341.

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Urban ARC is the Annual Research Conference of the Indian Institute for Human Settlements (IIHS). The seventh edition of the conference was conducted virtually and in person from 12 to 14 January 2023 and focused on the theme ‘Cities in Flux’. The panels and sessions explored, built on and continued ongoing conversations around the broad spectrum of the nature of flux in and across our cities; and how to navigate these changes, our practices must be responsive, empathetic, and value-driven. A wide range of themes, sectors, disciplines and methodologies was discussed. These Conference Proceedin
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Javed, Umair, Aiza Hussain, and Hassan Aziz. Demanding Power: Contentious Politics and Electricity in Pakistan. Institute of Development Studies (IDS), 2021. http://dx.doi.org/10.19088/ids.2021.047.

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This paper explores Pakistan’s electricity supply crisis that lasted from 2007 to 2015, and the ensuing contention that shaped public discourse and political events in the country. During this period, which witnessed electricity outages of up to 14 hours per day, 456 incidents of contention took place, with just under 20 per cent escalating into some form of violence. Electricity became the number one political issue in the country and was integral in shaping the outcomes of the 2013 General Election. Following the election, public authorities undertook extensive investment to expand capacity
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Georgalakis, James, Saira Ahmed, Vaqar Ahmed, et al. Stories of Change: Covid-19 Responses for Equity. Institute of Development Studies, 2023. http://dx.doi.org/10.19088/core.2023.018.

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Covid-19 Responses for Equity (CORE) was a three-year, CA$25m rapid research initiative that brought together 20 research projects to understand the socioeconomic impacts of the pandemic, improve existing responses, and generate better policy options for recovery. The research, funded by the Canadian International Development Research Centre (IDRC), took place across 42 countries in Africa, Asia, Latin America and the Middle East. The Institute of Development Studies (IDS) supported CORE to maximise the learning generated across the research portfolio and deepen engagement with governments, ci
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Mattock, Ruth. The Power project: a report on TABLE's exploration of power in the food system. TABLE, 2024. https://doi.org/10.56661/d98edcaf.

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At TABLE, we select annual themes to guide our work. These are usually concepts that act as fault lines in discussions of food system transformation, and concern what a ‘good’ food future might look like. Through a series of reports, essays, podcasts, events and explainers we consider the concept from many different angles. We hope that the totality of this work helps reveal the range of values, assumptions and evidence that shape stakeholders’ views and illuminates how and why they may disagree. TABLE’s report at the close of our SCALE theme noted that power was at the root of many concerns a
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