Relevant bibliographies by topics / Efficient Conversation

Contents

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

Academic literature on the topic 'Efficient Conversation'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Efficient Conversation"

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Kapuskar, Vaibhavi, Sakshi Bobade, Srushti Diwan, Akshata Dholwade, Vaishnavi Kamble, and Prof S. R. Gudadhe. "Efficient Chatbot Designing." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (2022): 2743–45. http://dx.doi.org/10.22214/ijraset.2022.41889.

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Abstract: A conversational agent (chatbot) is a piece of software that is able to communicate with humans using natural language. Modeling conversation is an important task in natural language processing and artificial intelligence (AI). Indeed, ever since the birth of AI, creating a good chatbot remains one of the field’s hardest challenges. While chatbots can be used for various tasks, in general they have to understand users’ utterances and provide responses that are relevant to the problem at hand. In the past, methods for constructing chatbot architectures have relied on hand-written rule
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Qin, Zhen (Luther). "Conversational Breakdown Detector for a Motivational Interviewing Conversational Agent." IJournal: Student Journal of the Faculty of Information 9, no. 1 (2023): 60–77. http://dx.doi.org/10.33137/ijournal.v9i1.42237.

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A conversational breakdown in human-chatbot interaction refers to a disruption or failure in the communicative flow between the human user and the chatbot. To recover a disrupted conversation, the first step is to detect the breakdown. Researchers have proposed methods using supervised learning and semi-supervised learning in dialogue systems to achieve the goal of detecting conversational breakdown. However, few studies have focused on detecting breakdowns in automated therapeutic conversations, especially conversations led by motivational interviewing chatbots. The presence of conversational
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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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Li, Ximing, Yuanchao Dai, Zhiyao Yang, Jinjin Chi, Wanfu Gao, and Lin Yuanbo Wu. "Utterance-level Emotion Recognition in Conversation with Conversation-level Supervision." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 23 (2025): 24503–11. https://doi.org/10.1609/aaai.v39i23.34629.

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Emotion Recognition in Conversations (ERC) involves automatically identifying the emotion of each utterance in conversations. The emotion of an utterance is contingent to the conversation context, and thus, annotating each utterance in ERC entails repetitive screening the whole conversation from annotators. Such a requirement leads to prohibitive cost in fine-grained labeling on utterance. In this paper, we propose an efficient coarse-grained labeling strategy for ERC, which assigns a set of emotions for each conversation. In specific, we reformulate the ERC predictors with conversation-level
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Igarashi, Toshiharu, Katsuya Iijima, Kunio Nitta, and Yu Chen. "Qualitative Analysis of Responses in Estimating Older Adults Cognitive Functioning in Spontaneous Speech: Comparison of Questions Asked by AI Agents and Humans." Healthcare 12, no. 21 (2024): 2112. http://dx.doi.org/10.3390/healthcare12212112.

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Background/Objectives: Artificial Intelligence (AI) technology is gaining attention for its potential in cognitive function assessment and intervention. AI robots and agents can offer continuous dialogue with the elderly, helping to prevent social isolation and support cognitive health. Speech-based evaluation methods are promising as they reduce the burden on elderly participants. AI agents could replace human questioners, offering efficient and consistent assessments. However, existing research lacks sufficient comparisons of elderly speech content when interacting with AI versus human partn
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Dhoolia, Pankaj, Vineet Kumar, Danish Contractor, and Sachindra Joshi. "Bootstrapping Dialog Models from Human to Human Conversation Logs." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 18 (2021): 16024–25. http://dx.doi.org/10.1609/aaai.v35i18.18000.

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State-of-the-art commercial dialog platforms provide powerful tools to build a conversational agent. These platforms provide complete control to the dialog designer to model user-agent interactions. However, a dialog designer needs to rely on domain experts to manually build the dialog model -- by creating dialog flow nodes and modeling user intents. This process is laborious, time consuming and expensive and does not allow the designer to exploit human to human conversation logs effectively. In this work, we present a research prototype that can ingest human-to-human conversation logs between
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Szabó, Zoltán Gendler. "The Goal of Conversation." Aristotelian Society Supplementary Volume 94, no. 1 (2020): 57–86. http://dx.doi.org/10.1093/arisup/akaa005.

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Abstract Dickie (2020) presents an argument against the traditional, broadly Gricean view of conversation. She argues that speakers must sometimes be more specific than required for sharing knowledge on a topic of common concern. Her proposed solution is to claim that the goal of conversation is not just sharing knowledge but also sharing cognitive focus. In response, I argue that her proposal faces both conceptual and empirical difficulties, and that the traditional view can handle the problem of non-specificity by acknowledging that in order to sustain mutual trust, conversational participan
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Lupu, Ilie. "CONVERSATION - AN EFFECTIVE AND EFFICIENT METHOD OF TEACHING MATHEMATICS." Acta et commentationes: Științe ale Educației 26, no. 4 (2022): 7–16. http://dx.doi.org/10.36120/2587-3636.v26i4.7-16.

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The article discusses the essence and types of conversation as an active method of teaching mathematics, as well as the effectiveness of heuristic conversation in proving theorems and solving problems. The role of conversation in the formation of mathematical skills, represent at the same time a school of speech, contributing to the formation of the ability to communicate intelligently.
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Lin, Dongding, Jian Wang, and Wenjie Li. "COLA: Improving Conversational Recommender Systems by Collaborative Augmentation." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 4 (2023): 4462–70. http://dx.doi.org/10.1609/aaai.v37i4.25567.

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Conversational recommender systems (CRS) aim to employ natural language conversations to suggest suitable products to users. Understanding user preferences for prospective items and learning efficient item representations are crucial for CRS. Despite various attempts, earlier studies mostly learned item representations based on individual conversations, ignoring item popularity embodied among all others. Besides, they still need support in efficiently capturing user preferences since the information reflected in a single conversation is limited. Inspired by collaborative filtering, we propose
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Sarmadiyah, Nailir Rahmah. "DEIKSIS BAHASA MADURA DALAM PERCAKAPAN MAHASISWA ASRAMA UNIVERSITAS TRUNOJOYO MADURA." Hasta Wiyata 7, no. 2 (2025): 252–61. https://doi.org/10.21776/ub.hastawiyata.2024.007.002.08.

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In everyday life, humans cannot be separated from communication activities with others. Humans are social creatures who need to interact with other people. In the communication process the role of language is very necessary. In order for the communication process to run smoothly, a person must understand the relationship between the context and the language spoken. This will be discussed in one branch of linguistics, namely pragmatics. Usually language is packaged and used by prioritizing its efficient function, therefore in pragmatics there is a discussion about deixis. This research will dis
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Dissertations / Theses on the topic "Efficient Conversation"

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Schaeffer, Marion. "Towards efficient Knowledge Graph-based Retrieval Augmented Generation for conversational agents." Electronic Thesis or Diss., Normandie, 2025. http://www.theses.fr/2025NORMIR06.

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Les agents conversationnels se sont largement répandus ces dernières années. Aujourd'hui, ils ont dépassé leur objectif initial de simuler une conversation avec un programme informatique et sont désormais des outils précieux pour accéder à l'information et effectuer diverses tâches, allant du service client à l'assistance personnelle. Avec l'essor des modèles génératifs et des grands modèles de langage (LLM), les capacités des agents conversationnels ont été décuplées. Cependant, ils sont désormais sujets à des hallucinations, générant ainsi des informations erronées. Une technique populaire p
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Beringer, Grant. "The efficiency of some structures to prevent soil erosion - a case in Mabula private Game Reserve." Thesis, 2008. http://hdl.handle.net/10210/459.

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Accelerated erosion is a major environmental, social and economical threat in South Africa. It is estimated that in excess of 400 million tones of soil is lost every year in South Africa, with much of this erosion being attributed to improper land management and little or no erosion control methods. This study was aimed to determine the efficiency of soil erosion structures, which were constructed in the Mabula Private Game Reserve (Limpopo Province), in reducing the amount of sediment eroded at the sites as well as to determine the amounts of sediments deposited due to their presence. Factors
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Books on the topic "Efficient Conversation"

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Dansky, Martin. Introductory Guide to Efficient English Conversation. Lulu Press, Inc., 2009.

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Introductory Guide to Efficient English Conversation: An Introductory Guide. Lulu, 2008.

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Mercado, Lisa D. Effective Conversation: Strategies of Being an Efficient and Confident Communicator. Independently Published, 2022.

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Cannistrà, Flavio, and Michael F. Hoyt. Brief Therapy Conversations: Exploring Efficient Intervention in Psychotherapy. Taylor & Francis Group, 2022.

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Cannistrà, Flavio, and Michael F. Hoyt. Brief Therapy Conversations: Exploring Efficient Intervention in Psychotherapy. Taylor & Francis Group, 2022.

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Cannistrà, Flavio, and Michael F. Hoyt. Brief Therapy Conversations: Exploring Efficient Intervention in Psychotherapy. Routledge, Chapman & Hall, Incorporated, 2022.

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Cannistrà, Flavio, and Michael F. Hoyt. Brief Therapy Conversations: Exploring Efficient Intervention in Psychotherapy. Routledge, Chapman & Hall, Incorporated, 2022.

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Cannistrà, Flavio, and Michael F. Hoyt. Brief Therapy Conversations: Exploring Efficient Intervention in Psychotherapy. Taylor & Francis Group, 2022.

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Compston, Alastair. A short history of clinical neurology. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780198569381.003.0014.

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More than any other branch of medicine, the practice of neurology depends on the classical methods of intuitive conversation, structured examination, and selective investigation. We teach the importance of eliciting an accurate neurological history. The key symptoms at onset are identified and their subsequent course defined. For the experienced clinician, this process becomes routine, efficient, and quick. The competent neurologist is the one who instinctively senses relevant components of the history, appreciates the most likely underlying disease mechanisms, reliably elicits the relevant ph
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Davis, Wayne A. Implicature. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199935314.013.21.

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Implicature for speakers is meaning one thing by saying something else. Semantic implicatures are part of sentence meaning, whereas conversational implicatures depend on the utterance context. Conventional forms of conversational implicature include figures and modes of speech like irony and relevance implicature. A sentence has an implicature when speakers conventionally use sentences of that form with the corresponding implicature. Speakers implicate things for many reasons. Some apply to saying (communication, self-expression, record creation), others do not (verbal efficiency, misleading w
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Book chapters on the topic "Efficient Conversation"

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Rossen, Brent, Scott Lind, and Benjamin Lok. "Human-Centered Distributed Conversational Modeling: Efficient Modeling of Robust Virtual Human Conversations." In Intelligent Virtual Agents. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04380-2_52.

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Slama, Dirk. "AIoT Product/Solution Design." In The Digital Playbook. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-88221-1_22.

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AbstractThe idea of a more detailed design document may seem old fashioned to someone who is used to working in small, agile development teams. After all, the Agile manifesto itself values working software over comprehensive documentation and emphasizes the most efficient and effective method of conveying information to and within a development team is face-to-face conversation. However, in large-scale, multi-team, multisite projects, a certain amount of documentation is required to ensure that all teams and stakeholders are aligned and working in synch. Working across organizational boundarie
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Lowell, Kevin R. "Agile Principle 6: “The Most Efficient and Effective Method of Conveying Information to and Within a Development Team Is Face-to-Face Conversation”." In Future of Business and Finance. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-36429-7_13.

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Köpke, Julius, and Aya Safan. "Efficient LLM-Based Conversational Process Modeling." In Lecture Notes in Business Information Processing. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-78666-2_20.

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Singh, Indrajeet, Masoud Akhoondi, Mustafa Y. Arslan, Harsha V. Madhyastha, and Srikanth V. Krishnamurthy. "Resource Efficient Privacy Preservation of Online Social Media Conversations." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-28865-9_13.

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Tran, Hai Dang, Andrew Yates, and Gerhard Weikum. "Efficient and Effective Conversational Search with Tail Entity Selection." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-88714-7_26.

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Lu, Lili, Chuan Meng, Federico Ravenda, Mohammad Aliannejadi, and Fabio Crestani. "Zero-Shot and Efficient Clarification Need Prediction in Conversational Search." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-88708-6_25.

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Pym, Anthony, Judith Raigal-Aran, and Carmen Bestué Salinas. "Non-standard court interpreting as risk management." In Introducing New Hypertexts on Interpreting (Studies). John Benjamins Publishing Company, 2023. http://dx.doi.org/10.1075/btl.160.06pym.

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Most codes of ethics stipulate that court interpreters should give verbatim renditions, should not have side conversations with the witness or the defendant, and should use the alien-I. However, when we find these maxims flouted by outsourced interpreters working in trials in Barcelona, the observed practices may be considered non-standard and yet constitute an expected and even accepted social practice. Here we attempt to understand why interpreters sometimes abandon all illusion of equivalence, why side conversations occur in certain hearings, and why interpreters sometimes speak in their ow
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Jbene, Mourad, Mourad Raif, Smail Tigani, Abdellah Chehri, and Rachid Saadane. "Efficient Aspect-Based Sentiment Analysis for Conversational Recommendation Based on a Distilled TinyBERT Model." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-88653-9_63.

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Borokini, Favour, Kutoma Wakunuma, and Simisola Akintoye. "The Use of Gendered Chatbots in Nigeria: Critical Perspectives." In Social and Cultural Studies of Robots and AI. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-08215-3_6.

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AbstractIn a bid to improve service delivery and efficiency in Nigeria, the use of conversational agents such as chatbots capable of providing round the clock responses is growing. This is gaining more traction in the financial sector, particularly in fintechs where there have been significant improvements in the last year. However, not enough research has been conducted on the impact of the gendering of these conversational agents. This is concerning, especially as findings from our research reveal that the majority of chatbots currently deployed in the country are deliberately gendered to ap
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Conference papers on the topic "Efficient Conversation"

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Gendron, Barbara, and Gaël Guibon. "SEC: Context-Aware Metric Learning for Efficient Emotion Recognition in Conversation." In Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.wassa-1.2.

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Nwazor, Nkolika O., Justice C. Erowele, Remigius O. Okeke, Ekene S. Mbonu, and Otelemate M. Horsfall. "Energy Optimization of Wireless Body Area Network(WBAN) Using TDMA Duty Cycling and Thermal Energy Harvesting." In Africa International Conference on Clean Energy and Energy Storage. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-1wcg7x.

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Energy harvesting is an effective technique for optimizing Wireless Body Area Network (WBAN) devices used for continuous healthcare services delivery. Despite the growing popularity of WBANs in recent years due to their potential to transform healthcare, energy consumption remains a critical issue. This is due to several factors such as the limited capacity of batteries in smaller sensor nodes, the continuous operation that drains batteries and renders the nodes inoperable, and the impracticality of replacing batteries in situations where the sensors are implanted in the human body and would r
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Xu, Anfeng, Tiantian Feng, Helen Tager-Flusberg, Catherine Lord, and Shrikanth Narayanan. "Data Efficient Child-Adult Speaker Diarization with Simulated Conversations." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10889307.

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Han, Janghoon, Dongkyu Lee, Joongbo Shin, et al. "Efficient Dynamic Hard Negative Sampling for Dialogue Selection." 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-1.6.

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Ravaut, Mathieu, Hao Zhang, Lu Xu, Aixin Sun, and Yong Liu. "Parameter-Efficient Conversational Recommender System as a Language Processing Task." In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, 2024. https://doi.org/10.18653/v1/2024.eacl-long.9.

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Gody, Reem, Mohamed Abdelghaffar, Mohammed Jabreel, and Ahmed Y. Tawfik. "Efficient Intent-Based Filtering for Multi-Party Conversations Using Knowledge Distillation from LLMs." In 2025 IEEE Conference on Artificial Intelligence (CAI). IEEE, 2025. https://doi.org/10.1109/cai64502.2025.00042.

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Matta, Shiho, Yin Jou Huang, Fei Cheng, Hirokazu Kiyomaru, and Yugo Murawaki. "Optimizing Cost-Efficiency with LLM-Generated Training Data for Conversational Semantic Frame Analysis." In Proceedings of the 9th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2025). Association for Computational Linguistics, 2025. https://doi.org/10.18653/v1/2025.latechclfl-1.21.

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Li, Zhuohua, Maoli Liu, and John C. S. Lui. "FedConPE: Efficient Federated Conversational Bandits with Heterogeneous Clients." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/501.

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Conversational recommender systems have emerged as a potent solution for efficiently eliciting user preferences. These systems interactively present queries associated with "key terms" to users and leverage user feedback to estimate user preferences more efficiently. Nonetheless, most existing algorithms adopt a centralized approach. In this paper, we introduce FedConPE, a phase elimination-based federated conversational bandit algorithm, where M agents collaboratively solve a global contextual linear bandit problem with the help of a central server while ensuring secure data management. To ef
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Shalyminov, Igor, Sungjin Lee, Arash Eshghi, and Oliver Lemon. "Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks." In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/d19-1183.

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Shalyminov, Igor, Ondřej Dušek, and Oliver Lemon. "Neural Response Ranking for Social Conversation: A Data-Efficient Approach." In Proceedings of the 2018 EMNLP Workshop SCAI: The 2nd International Workshop on Search-Oriented Conversational AI. Association for Computational Linguistics, 2018. http://dx.doi.org/10.18653/v1/w18-5701.

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Reports on the topic "Efficient Conversation"

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León, Carlos, and Kimmo Soramäki. The Next Generation RTGS: Liquidity Saving Mechanisms as an Overlay Service. FNA, 2024. http://dx.doi.org/10.69701/cfcz133.

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Between 1985 and 2006, a total of 96 central banks implemented Real-time Gross Settlement (RTGS) systems. The adoption of this technology was driven to reduce risks inherent in the then-predominant Deferred Net Settlement (DNS) systems. However, because RTGS systems consume large amounts of liquidity when each payment is settled individually, many RTGS systems (e.g., CHAPS and Target2) implemented Liquidity-Saving Mechanisms (LSMs) of varying complexity, with most deploying variations of the algorithm presented by Morten Bech and Kimmo Soramäki (the co-author) in 2001. Many of these systems ar
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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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Kessler, Matthew, Annsofie Wahlström, Hanna Weiber-Post, and Ylva Carlqvist Warnborg. Exploring the future of meat : navigating complex topics for better decision making. SLU Future food, Swedish University of Agricultural Sciences, 2023. http://dx.doi.org/10.54612/a.55n5kd18dl.

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This report draws on insights gleaned from putting together the project The future of meat – storytelling and dialogues for improved decision making from 2021-2023, integrating lessons from expert interviews, podcast production, and facilitated workshops. The project was initiated by the SLU Future Food platform at the Swedish University of Agricultural Sciences (SLU), and developed and produced by TABLE, which is a food systems collaboration between the University of Oxford, SLU, and Wageningen University and Research. The aim of the project was to reflect on our own viewpoints and to foster
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Loecker, Florian, Amanah Ramadiah, and Kimmo Soramäki. Countering Consumer Fraud and Scams with National Fraud Portals. FNA, 2024. http://dx.doi.org/10.69701/oppl1525.

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In this paper, we argue that setting up a new Digital Public Infrastructure - a National Fraud Portal (NFP) - is the only way to address fraud and consumer scams efficiently. NFPs provide a technological solution as a shared facility for banks, law enforcement, the Financial Intelligence Unit (FIU), the central bank, the conduct supervisor, and other stakeholders. Further down the line, NFPs can connect to one another as cross-border criminal activity increases (a likely consequence of suppressing fraud domestically). The National Fraud Portal (NFP) enables: The real-time tracing and tracking
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MacFarlane, Andrew. 2021 medical student essay prize winner - A case of grief. Society for Academic Primary Care, 2021. http://dx.doi.org/10.37361/medstudessay.2021.1.1.

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As a student undertaking a Longitudinal Integrated Clerkship (LIC)1 based in a GP practice in a rural community in the North of Scotland, I have been lucky to be given responsibility and my own clinic lists. Every day I conduct consultations that change my practice: the challenge of clinically applying the theory I have studied, controlling a consultation and efficiently exploring a patient's problems, empathising with and empowering them to play a part in their own care2 – and most difficult I feel – dealing with the vast amount of uncertainty that medicine, and particularly primary care, pre
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