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Relevant bibliographies by topics / Conversational Applications

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Academic literature on the topic 'Conversational Applications'

Author: Grafiati

Published: 3 June 2025

Last updated: 20 July 2025

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Journal articles on the topic "Conversational Applications"

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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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Kiesel, Johannes, Lars Meyer, Martin Potthast, and Benno Stein. "Meta-Information in Conversational Search." ACM Transactions on Information Systems 39, no. 4 (2021): 1–44. http://dx.doi.org/10.1145/3468868.

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The exchange of meta-information has always formed part of information behavior. In this article, we show that this rule also extends to conversational search. Information about the user’s information need, their preferences, and the quality of search results are only some of the most salient examples of meta-information that are exchanged as a matter of course in a search conversation. To understand the importance of meta-information for conversational search, we revisit its definition and survey how meta-information has been taken into account in the past in information retrieval. Meta-infor

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Vadlamani, Srikanth, and Daksha Borada. "The Role of LLM Agent Apps in Conversational AI." International Journal of Research in Modern Engineering & Emerging Technology 13, no. 4 (2025): 205–23. https://doi.org/10.63345/ijrmeet.org.v13.i4.12.

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The rapid growth of Large Language Models (LLMs) has tremendously boosted the strength of conversational artificial intelligence applications. In this regard, LLM agent applications have become strong tools for automating and individualizing conversations across industries such as customer service, healthcare, education, and entertainment. LLM agent applications use LLMs to have sophisticated, contextually aware conversations, thereby providing users with a natural conversational experience. Though they have great capabilities, there is a massive research gap regarding the distinctive roles an

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Watkinson, Neftali, Fedor Zaitsev, Aniket Shivam, et al. "EdgeAvatar: An Edge Computing System for Building Virtual Beings." Electronics 10, no. 3 (2021): 229. http://dx.doi.org/10.3390/electronics10030229.

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Dialogue systems, also known as conversational agents, are computing systems that use algorithms for speech and language processing to engage in conversation with humans or other conversation-capable systems. A chatbot is a conversational agent that has, as its primary goal, to maximize the length of the conversation without any specific targeted task. When a chatbot is embellished with an artistic approach that is meant to evoke an emotional response, then it is called a virtual being. On the other hand, conversational agents that interact with the physical world require the use of specialize

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Joty, Shafiq, and Tasnim Mohiuddin. "Modeling Speech Acts in Asynchronous Conversations: A Neural-CRF Approach." Computational Linguistics 44, no. 4 (2018): 859–94. http://dx.doi.org/10.1162/coli_a_00339.

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Participants in an asynchronous conversation (e.g., forum, e-mail) interact with each other at different times, performing certain communicative acts, called speech acts (e.g., question, request). In this article, we propose a hybrid approach to speech act recognition in asynchronous conversations. Our approach works in two main steps: a long short-term memory recurrent neural network (LSTM-RNN) first encodes each sentence separately into a task-specific distributed representation, and this is then used in a conditional random field (CRF) model to capture the conversational dependencies betwee

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Clarfeld, Laurence A., Robert Gramling, Donna M. Rizzo, and Margaret J. Eppstein. "A general model of conversational dynamics and an example application in serious illness communication." PLOS ONE 16, no. 7 (2021): e0253124. http://dx.doi.org/10.1371/journal.pone.0253124.

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Conversation has been a primary means for the exchange of information since ancient times. Understanding patterns of information flow in conversations is a critical step in assessing and improving communication quality. In this paper, we describe COnversational DYnamics Model (CODYM) analysis, a novel approach for studying patterns of information flow in conversations. CODYMs are Markov Models that capture sequential dependencies in the lengths of speaker turns. The proposed method is automated and scalable, and preserves the privacy of the conversational participants. The primary function of

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Adlakha, Vaibhav, Shehzaad Dhuliawala, Kaheer Suleman, Harm de Vries, and Siva Reddy. "TopiOCQA: Open-domain Conversational Question Answering with Topic Switching." Transactions of the Association for Computational Linguistics 10 (2022): 468–83. http://dx.doi.org/10.1162/tacl_a_00471.

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Abstract In a conversational question answering scenario, a questioner seeks to extract information about a topic through a series of interdependent questions and answers. As the conversation progresses, they may switch to related topics, a phenomenon commonly observed in information-seeking search sessions. However, current datasets for conversational question answering are limiting in two ways: 1) they do not contain topic switches; and 2) they assume the reference text for the conversation is given, that is, the setting is not open-domain. We introduce TopiOCQA (pronounced Tapioca), an open

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Ren, Pengjie, Zhumin Chen, Zhaochun Ren, Evangelos Kanoulas, Christof Monz, and Maarten De Rijke. "Conversations with Search Engines: SERP-based Conversational Response Generation." ACM Transactions on Information Systems 39, no. 4 (2021): 1–29. http://dx.doi.org/10.1145/3432726.

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In this article, we address the problem of answering complex information needs by conducting conversations with search engines , in the sense that users can express their queries in natural language and directly receive the information they need from a short system response in a conversational manner. Recently, there have been some attempts towards a similar goal, e.g., studies on Conversational Agent s (CAs) and Conversational Search (CS). However, they either do not address complex information needs in search scenarios or they are limited to the development of conceptual frameworks and/or la

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Thomas, Paul, Mary Czerwinksi, Daniel Mcduff, and Nick Craswell. "Theories of Conversation for Conversational IR." ACM Transactions on Information Systems 39, no. 4 (2021): 1–23. http://dx.doi.org/10.1145/3439869.

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Conversational information retrieval is a relatively new and fast-developing research area, but conversation itself has been well studied for decades. Researchers have analysed linguistic phenomena such as structure and semantics but also paralinguistic features such as tone, body language, and even the physiological states of interlocutors. We tend to treat computers as social agents—especially if they have some humanlike features in their design—and so work from human-to-human conversation is highly relevant to how we think about the design of human-to-computer applications. In this article,

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Lin, Chien-Chang, Anna Y. Q. Huang, and Stephen J. H. Yang. "A Review of AI-Driven Conversational Chatbots Implementation Methodologies and Challenges (1999–2022)." Sustainability 15, no. 5 (2023): 4012. http://dx.doi.org/10.3390/su15054012.

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A conversational chatbot or dialogue system is a computer program designed to simulate conversation with human users, especially over the Internet. These chatbots can be integrated into messaging apps, mobile apps, or websites, and are designed to engage in natural language conversations with users. There are also many applications in which chatbots are used for educational support to improve students’ performance during the learning cycle. The recent success of ChatGPT also encourages researchers to explore more possibilities in the field of chatbot applications. One of the main benefits of c

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Dissertations / Theses on the topic "Conversational Applications"

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Baheti, Ashutosh. "Improving Conversation Quality of Data-driven Dialog Systems and Applications in Conversational Question Answering." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1596469447727479.

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Okamoto, Masayuki. "Design and applications of learning conversational agents." 京都大学 (Kyoto University), 2003. http://hdl.handle.net/2433/148780.

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Doumanis, Ioannis. "Evaluating humanoid embodied conversational agents in mobile guide applications." Thesis, Middlesex University, 2013. http://eprints.mdx.ac.uk/12627/.

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Evolution in the area of mobile computing has been phenomenal in the last few years. The exploding increase in hardware power has enabled multimodal mobile interfaces to be developed. These interfaces differ from the traditional graphical user interface (GUI), in that they enable a more “natural” communication with mobile devices, through the use of multiple communication channels (e.g., multi-touch, speech recognition, etc.). As a result, a new generation of applications has emerged that provide human-like assistance in the user interface (e.g., the Siri conversational assistant (Siri Inc., v

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Huang, Hung-Hsuan. "A generic framework for embodied conversational agent development and its applications." 京都大学 (Kyoto University), 2009. http://hdl.handle.net/2433/126470.

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McBreen, Helen. "Embodied conversational agents : extending the persona metaphor to virtual retail applications." Thesis, University of Edinburgh, 2002. http://hdl.handle.net/1842/15309.

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Engineering computer interfaces to communicate through the modality of speech serves to bridge the communicative gap between computers and their human users. Adding non-verbal performances to these spoken language interfaces, through the creation of embodied conversational agents, initiates dialogues where users' innate communicative capabilities are used for the benefit of a more engaging and effective interaction. Anthropomorphising the interface with lifelike behaviour animates the communicative process and recent research suggests that the extension of this persona metaphor into retail app

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Wik, Preben. "The Virtual Language Teacher : Models and applications for language learning using embodied conversational agents." Doctoral thesis, KTH, Tal-kommunikation, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-33579.

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This thesis presents a framework for computer assisted language learning using a virtual language teacher. It is an attempt at creating, not only a new type of language learning software, but also a server-based application that collects large amounts of speech material for future research purposes.The motivation for the framework is to create a research platform for computer assisted language learning, and computer assisted pronunciation training.Within the thesis, different feedback strategies and pronunciation error detectors are exploredThis is a broad, interdisciplinary approach, combinin

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Elsas, Jonathan L. "Leveraging Collection Structure in Information Retrieval With Applications to Search in Conversational Social Media." Research Showcase @ CMU, 2011. http://repository.cmu.edu/dissertations/161.

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Social media collections are becoming increasingly important in the everyday life of Internet users. Recent statistics show that sites hosting social media and community-generated content account for five of the top ten most visited websites in the United States [4], are visited regularly by a broad cross-section of Internet users [61, 67, 115] and host an enormous quantity of information [119, 48, 9]. The increasing importance and size of these collections requires that information retrieval systems pay special attention to these collections, and in particular pay attention to those aspects o

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Delpriori, Saverio. "Mobile crowd sensing: enabling technologies and applications." Doctoral thesis, Urbino, 2018. http://hdl.handle.net/11576/2656821.

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Matthews, Alexandra. "Integration of embodied conversational agents and pecuniary traits in usability design for financial services applications." Thesis, University of Edinburgh, 2009. http://hdl.handle.net/1842/15286.

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Beskow, Jonas. "Talking Heads - Models and Applications for Multimodal Speech Synthesis." Doctoral thesis, KTH, Tal, musik och hörsel, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3561.

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This thesis presents work in the area of computer-animatedtalking heads. A system for multimodal speech synthesis hasbeen developed, capable of generating audiovisual speechanimations from arbitrary text, using parametrically controlled3D models of the face and head. A speech-specific directparameterisation of the movement of the visible articulators(lips, tongue and jaw) is suggested, along with a flexiblescheme for parameterising facial surface deformations based onwell-defined articulatory targets. To improve the realism and validity of facial and intra-oralspeech movements, measurements fr

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Books on the topic "Conversational Applications"

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1960-, Cassell Justine, ed. Embodied conversational agents. MIT Press, 2000.

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Davey, Sarah. Artificially intelligent chat robots: Conversational ability and its practical applications. Oxford Brookes University, 2004.

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Robin, Wooffitt, ed. Conversation analysis: Principles, practices, and applications. Polity Press, 1998.

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Rocci, Luppicini, ed. Handbook of conversation design for instructional applications. Information Science Reference, 2008.

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Wilkinson, Raymond. The application of conversation analysis to the assessment of aphasic talk-in-interaction. University of Central England, Faculty of Health & Social Sciences, 1995.

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Vieira, Armando. Introduction to Deep Learning Business Applications for Developers: From Conversational Bots in Customer Service to Medical Image Processing. Apress, 2018.

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Handbook of Conversation Design for Instructional Applications. Information Science Reference, 2008.

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Randall, David. Court, Salon and Republic of Letters. Edinburgh University Press, 2018. http://dx.doi.org/10.3366/edinburgh/9781474430104.003.0006.

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The humanist educational project to educate the elite of Western Europe produced as one of its dizzy successes the application of conversation to the speech and behavior of nobleman at court. This, the development of the ideal of the courtier, took conversation from the leisurely retreat from the ancient political world to the courtly heart of the Renaissance political world. The salons of seventeenth-century France further transformed the conversational tradition of the court: in principle, the conversation of the salons began quietly to set itself to rival the world of oratory, to address it

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CHAN-KI, KIM. Hvdc Transmission Power Conversation Applications In Power Systems. WILEY INDIA, 2014.

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Kane, Mary A., and Scott R. Rosas. Conversations About Group Concept Mapping: Applications, Examples, and Enhancements. SAGE Publications, Inc, 2017.

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Book chapters on the topic "Conversational Applications"

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Ashri, Ronald. "Conversational Applications." In The AI-Powered Workplace. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-5476-9_9.

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Nishida, Toyoaki, Atsushi Nakazawa, Yoshimasa Ohmoto, and Yasser Mohammad. "Applications of Simulation and Imitation for Interaction Learning." In Conversational Informatics. Springer Japan, 2014. http://dx.doi.org/10.1007/978-4-431-55040-2_10.

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Kerry, Alice, Richard Ellis, and Susan Bull. "Conversational Agents in E-Learning." In Applications and Innovations in Intelligent Systems XVI. Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-215-3_13.

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Rago, Francesco. "Conversational Agent Model in Intelligent User Interface." In Fuzzy Logic and Applications. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/10983652_7.

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Chakraborty, Binayaka, and M. Geetha. "Emotion Recognition in a Conversational Context." In Applications and Techniques in Information Security. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2907-4_18.

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Poggi, Francesca. "Conversational Implicatures of Normative Discourse." In Further Advances in Pragmatics and Philosophy: Part 2 Theories and Applications. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-00973-1_15.

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Kumari, Vijay, Ayush Jain, Yashvardhan Sharma, and Lavika Goel. "Conversational Question Answering System using RASA Framework." In Applications of Machine Intelligence in Engineering. CRC Press, 2022. http://dx.doi.org/10.1201/9781003269793-51.

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Zhou, Chunyi, Yuanyuan Jin, Kai Zhang, Jiahao Yuan, Shengyuan Li, and Xiaoling Wang. "MusicRoBot: Towards Conversational Context-Aware Music Recommender System." In Database Systems for Advanced Applications. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91458-9_55.

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Sun, Jiajia, Juan Wang, Yueguo Chen, and Xiongpai Qin. "Flowris: Managing Data Analysis Workflows for Conversational Agent." In Database Systems for Advanced Applications. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-30678-5_63.

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Griol, David, Ismael Baena, José Manuel Molina, and Araceli Sanchis de Miguel. "A Multimodal Conversational Agent for Personalized Language Learning." In Ambient Intelligence - Software and Applications. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07596-9_2.

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Conference papers on the topic "Conversational Applications"

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Oliveira, Julio, Telmo Silva, Rita Oliveira, and Elizabeth Furtado. "Recommendations of Embodied Conversational Agents to Healthcare Applications." In 11th International Conference on Information and Communication Technologies for Ageing Well and e-Health. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013438700003938.

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Johnson, Sandra, S. Srijayanthi, T. V. N. L. Harika Jhansi, K. Pavithra, S. Sowmya, and M. urarisetty Mahathi Devi. "ChatFinance: Tracking Wealth with a Conversational Bot." In 2024 International Conference on Expert Clouds and Applications (ICOECA). IEEE, 2024. http://dx.doi.org/10.1109/icoeca62351.2024.00054.

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Lecorvé, Gwénolé, Morgan Veyret, Quentin Brabant, and Lina M. Rojas Barahona. "SPARQL-to-Text Question Generation for Knowledge-Based Conversational Applications." In Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.aacl-main.11.

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Schneider, Phillip, Wessel Poelman, Michael Rovatsos, and Florian Matthes. "Engineering Conversational Search Systems: A Review of Applications, Architectures, and Functional Components." In Proceedings of the 6th Workshop on NLP for Conversational AI (NLP4ConvAI 2024). Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.nlp4convai-1.5.

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Venkatraman, S., S. Brindha, G. Lakshmi, V. Myvizhi Selvi, and J. Sandhya. "Harnessing the potential of conversational AI: A Roadmap for Academic Applications." In 2024 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS). IEEE, 2024. https://doi.org/10.1109/icpects62210.2024.10780187.

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Zhao, Yuyan, Haibao Chen, Boyu Li, Mengyuan Li, Siqing Tao, and Hui Tian. "Hierarchical Policy Learning with Noisy Networks based Multi-round Conversational Recommendation." In 2024 International Conference on Networking and Network Applications (NaNA). IEEE, 2024. http://dx.doi.org/10.1109/nana63151.2024.00078.

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Chiddarwar, Girija, Samruddhi Bhabad, and Aaditi Indalkar. "Advancements in Conversational AI: A Survey of Chatbots and Voice Assistants." In 2025 1st International Conference on AIML-Applications for Engineering & Technology (ICAET). IEEE, 2025. https://doi.org/10.1109/icaet63349.2025.10932324.

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Samonte, Mary Jane, Raphaela Dominique C. Arlando, Nicholas Andrew P. Joquiño, Jomari B. Manongas, and Jared O. Poblete. "Applications of Artificial Intelligence in Conversational Agents: A Systematic Literature Review of AI in Chatbots." In 2024 IEEE 4th International Conference on Software Engineering and Artificial Intelligence (SEAI). IEEE, 2024. http://dx.doi.org/10.1109/seai62072.2024.10674229.

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Shirahama, Naruki, Shinichi Kondo, Keiji Matsumoto, et al. "Quantitative Analysis of Conversational Response Nuances Using Visual Analog Scale, Data Visualization, and Clustering." In 2024 IEEE/ACIS 22nd International Conference on Software Engineering Research, Management and Applications (SERA). IEEE, 2024. http://dx.doi.org/10.1109/sera61261.2024.10685555.

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Park, SeongGyeol, Ahtae Kim, Sookyung Lee, Haeun Lee, Chayapol Kamyod, and Cheong Ghil Kim. "Design of REST API Client for Conversational Agent using Large Language Model with Open API System." In 2024 IEEE/ACIS 22nd International Conference on Software Engineering Research, Management and Applications (SERA). IEEE, 2024. http://dx.doi.org/10.1109/sera61261.2024.10685639.

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Reports on the topic "Conversational Applications"

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Ashcroft, John. Technical Assistance on the Application of Risk-based Supervision by CONSAR in Mexico. Inter-American Development Bank, 2017. http://dx.doi.org/10.18235/0003928.

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This second document of the PLAC Network Technical Assistance Document Series is entitled “Technical assistance on the application of risk-based supervision by CONSAR in Mexico”, and sets out some observations and questions regarding the implementation of risk-based supervision (RBS) by CONSAR in Mexico. The evidence was gathered from a desk review of papers and a visit from 1 to 9 June 2017 with meetings and conversations with management and staff of CONSAR and representatives of three pension fund management companies (AFOREs).

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White, Jessica. Consensus vs. Complexity: Challenges of Adaptability for the UN Security Council’s Counter-Terrorism Framework & the Women, Peace, and Security Agenda. RESOLVE Network, 2022. http://dx.doi.org/10.37805/sfi2022.3.

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United Nations (UN) counter-terrorism (CT) policies are challenged by the emergence and resurgence of different threat profiles on the security horizon because its response framework is focused on one type of terrorism and violent extremism (T/VE) threat. As there is increasing focus on the threat of extreme right-wing T/VE in the current social and political context in the West, for example, the challenges of adaptability and transferability become apparent. This is often due to the lack of flexibility and nuance of the conversation around CT at the UN level. This same lack of consideration f

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Nahorniak, Maya. Occupation of profession: Methodology of laboratory classes from practically-oriented courses under distance learning (on an example of discipline «Radioproduction»). Ivan Franko National University of Lviv, 2022. http://dx.doi.org/10.30970/vjo.2022.51.11412.

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The article deals with the peculiarities of the use of verbal, visual and practical methods in the distance learning of professional practically-oriented discipline «Radioproduction», are offered new techniques for the use of these methods during the presentation of theoretical material and the creation of a media product (audiovisual content), due to the acquisition of a specialty in conditions online. It is proved that in distance learning, this discipline is inadmissible to absolutize the significance of verbal methods (narrative, explanation, conversation, discussion, lecture) and that all

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Volikova, Maryna M., Tetiana S. Armash, Yuliia V. Yechkalo, and Vladimir I. Zaselskiy. Practical use of cloud services for organization of future specialists professional training. [б. в.], 2019. http://dx.doi.org/10.31812/123456789/3269.

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The article is devoted to the peculiarities of the practical use of cloud services for the organization of qualitative professional training of future specialists. It is established that in order to implement state policy, there is an essential need for using various ICT, in particular cloud services, which are not only economically acceptable in the new educational environment, but also a powerful tools of obtaining new knowledge, skills and abilities. The advantages and disadvantages of using cloud services in the educational process of higher education are substantiated; the examples discus

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Bhutiani, Rakesh. The Citation Game: Winning Strategies to Elevate Your Research Profile (2025). Rakesh Bhutiani, 2025. https://doi.org/10.36953/rbb.6072025.

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In today’s information-rich world, a sharp research profile is no longer Windows optional; it’s routine. Whether you are a fresh graduate chasing your first big grant or a seasoned scholar working to keep your name in the conversation, your online page is a window to your academic brand, credibility, and reach. Citations carry more weight than they used to, and they show up everywhere—in grant applications, tenure files, even yearly program reviews. Whether you have dozens of articles or are just starting your Ph.D., learning how to nudge those numbers higher helps you, your colleagues, and th

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Rimphanitchayakit, Vichien, and Raevadee Siritunyanont. Mutagenesis of cyclodextrin glucanotransferase gene that affects themostability of the enzyme. Chulalongkorn University, 2006. https://doi.org/10.58837/chula.res.2006.34.

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Cyclodextrins are cyclic oligosaccharides of 6, 7 andf 8 glucose units, called [alpha]-, [beta]- and [gamma]- cyclodextrins (CDs)s, respectively. CDs are the products of enzymatic conversation of starch and related substrates by cyclodextrin glucanotransferases (CGTases), and are useful carrier molecules for applications in industries. The CGTase consists of 5 domains, A, B, C, D, and E. Domains A/B are the central catalytic domains while others perform accessory functions. The commercial production of CDs required that the starch be liquefied at high temperature before the CGTase reaction at

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Tipton, Kelley, Brian F. Leas, Emilia Flores, et al. Impact of Healthcare Algorithms on Racial and Ethnic Disparities in Health and Healthcare. Agency for Healthcare Research and Quality (AHRQ), 2023. http://dx.doi.org/10.23970/ahrqepccer268.

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Objectives. To examine the evidence on whether and how healthcare algorithms (including algorithm-informed decision tools) exacerbate, perpetuate, or reduce racial and ethnic disparities in access to healthcare, quality of care, and health outcomes, and examine strategies that mitigate racial and ethnic bias in the development and use of algorithms. Data sources. We searched published and grey literature for relevant studies published between January 2011 and February 2023. Based on expert guidance, we determined that earlier articles are unlikely to reflect current algorithms. We also hand-se

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