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Journal articles on the topic 'Efficient Conversation'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

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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Nishio, Toshiaki, Yuichiro Yoshikawa, Kohei Ogawa, and Hiroshi Ishiguro. "Development of an Effective Information Media Using Two Android Robots." Applied Sciences 9, no. 17 (2019): 3442. http://dx.doi.org/10.3390/app9173442.

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Conversational robots have been used to convey information to people in the real world. Android robots, which have a human-like appearance, are expected to be able to convey not only objective information but also subjective information, such as a robot’s feelings. Meanwhile, as an approach to realize attractive conversation, multi-party conversation by multiple robots was the focus of this study. By collaborating among several robots, the robots provide information while maintaining the naturalness of conversation. However, the effectiveness of interaction with people has not been surveyed us

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Liu, Xiulong, Sudipta Paul, Moitreya Chatterjee, and Anoop Cherian. "CAVEN: An Embodied Conversational Agent for Efficient Audio-Visual Navigation in Noisy Environments." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 4 (2024): 3765–73. http://dx.doi.org/10.1609/aaai.v38i4.28167.

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Audio-visual navigation of an agent towards locating an audio goal is a challenging task especially when the audio is sporadic or the environment is noisy. In this paper, we present CAVEN, a Conversation-based Audio-Visual Embodied Navigation framework in which the agent may interact with a human/oracle for solving the task of navigating to an audio goal. Specifically, CAVEN is modeled as a budget-aware partially observable semi-Markov decision process that implicitly learns the uncertainty in the audio-based navigation policy to decide when and how the agent may interact with the oracle. Our

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Nakamura, Michio. "Is human conversation more efficient than chimpanzee grooming?" Human Nature 11, no. 3 (2000): 281–97. http://dx.doi.org/10.1007/s12110-000-1014-2.

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Kunchala, Little Flower, Rani Veena, and Kumar Kandru Arun. "Efficient Cloud Platform for Developing a Chatbot." International Journal of Innovative Science and Research Technology 7, no. 5 (2022): 749–54. https://doi.org/10.5281/zenodo.6626229.

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Intelligent conversational computer systems, such as chatbots, imitate human speech to provide online assistance and assistance in the form of automated responses. Many sectors have used chatbots to deliver virtual support to clients as a result of the enhanced advantages they provide. Natural Language Processing and Machine Learning are two areas of Artificial Intelligence that are heavily included into chatbots. Before the advent of chatbots, there were just bots. The emergence of chatbots has ushered in a new age of conversational computing. A method of conversion that is participatory. A t

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Preti, Dino. "O diálogo num texto de ficção: contribuição para o estudo da “análise da conversação literária”." Cadernos de Estudos Lingüísticos 44 (August 24, 2011): 201–10. http://dx.doi.org/10.20396/cel.v44i0.8637076.

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The literary dialogue studies show that sometimes, the characters make use of conversational strategies which are more efficient than those in the spontaneous natural dialogues in certain communicative situations; this can make us think the authors create ideal structures which may often serve as a model. Based on excerpts from one tale by Luiz Vilela, the article shows how the strategies of proximity/distance, power/submission, clarity/concealment/dissimulation are smartly used by both characters in the text, aiming at their objectives in the conversation. This process is named “Literary Conv

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Dunbar, R. I. M. "Coevolution of neocortical size, group size and language in humans." Behavioral and Brain Sciences 16, no. 4 (1993): 681–94. http://dx.doi.org/10.1017/s0140525x00032325.

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AbstractGroup size covaries with relative neocortical volume in nonhuman primates. This regression equation predicts a group size for modern humans very similar to that for hunter-gatherer and traditional horticulturalist societies. Similar group sizes are found in other contemporary and historical societies. Nonhuman primates maintain group cohesion through social grooming; among the Old World monkeys and apes, social grooming time is linearly related to group size. Maintaining stability of human-sized groups by grooming alone would make intolerable time demands. It is therefore suggested (1)

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Płaza, Mirosław, Sławomir Trusz, Justyna Kęczkowska, Ewa Boksa, Sebastian Sadowski, and Zbigniew Koruba. "Machine Learning Algorithms for Detection and Classifications of Emotions in Contact Center Applications." Sensors 22, no. 14 (2022): 5311. http://dx.doi.org/10.3390/s22145311.

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Over the past few years, virtual assistant solutions used in Contact Center systems are gaining popularity. One of the main tasks of the virtual assistant is to recognize the intentions of the customer. It is important to note that quite often the actual intention expressed in a conversation is also directly influenced by the emotions that accompany that conversation. Unfortunately, scientific literature has not identified what specific types of emotions in Contact Center applications are relevant to the activities they perform. Therefore, the main objective of this work was to develop an Emot

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Schliep, Michael, Eugene Vasserman, and Nicholas Hopper. "Consistent Synchronous Group Off-The-Record Messaging with SYM-GOTR." Proceedings on Privacy Enhancing Technologies 2018, no. 3 (2018): 181–202. http://dx.doi.org/10.1515/popets-2018-0027.

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Abstract We describe SYM-GOTR, a protocol for secure Group Off-The-Record (GOTR) messaging. In contrast to previous work, SYM-GOTR is the first protocol to offer confidential, authenticated, and repudiable conversations among a dynamic group with the additional properties of message unlinkability and the guarantee that all users see the same conversation, while providing efficient use of network and CPU resources. SYM-GOTR achieves these properties through the use of a novel optimistic consistency check protocol that either determines that all users agree on a transcript with constant-size mes

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Ghazarian, Sarik, Ralph Weischedel, Aram Galstyan, and Nanyun Peng. "Predictive Engagement: An Efficient Metric for Automatic Evaluation of Open-Domain Dialogue Systems." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (2020): 7789–96. http://dx.doi.org/10.1609/aaai.v34i05.6283.

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User engagement is a critical metric for evaluating the quality of open-domain dialogue systems. Prior work has focused on conversation-level engagement by using heuristically constructed features such as the number of turns and the total time of the conversation. In this paper, we investigate the possibility and efficacy of estimating utterance-level engagement and define a novel metric, predictive engagement, for automatic evaluation of open-domain dialogue systems. Our experiments demonstrate that (1) human annotators have high agreement on assessing utterance-level engagement scores; (2) c

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Jiang, Zhuoxuan, Jie Ma, Jingyi Lu, Guangyuan Yu, Yipeng Yu, and Shaochun Li. "A General Planning-Based Framework for Goal-Driven Conversation Assistant." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 9857–58. http://dx.doi.org/10.1609/aaai.v33i01.33019857.

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We propose a general framework for goal-driven conversation assistant based on Planning methods. It aims to rapidly build a dialogue agent with less handcrafting and make the more interpretable and efficient dialogue management in various scenarios. By employing the Planning method, dialogue actions can be efficiently defined and reusable, and the transition of the dialogue are managed by a Planner. The proposed framework consists of a pipeline of Natural Language Understanding (intent labeler), Planning of Actions (with a World Model), and Natural Language Generation (learned by an attention-

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Hidayatul Khasanah, Syahranie Mulya Winanti, Desy Prasetyaningsih, et al. "Analysis Of Violations Of The Maxim Of Cooperation In The Youtube Channel Of Lost Youth (Buying Cheetahs So That Then The End Will Ride Cheetahs): A Pragmatic Study." International Journal of Multilingual Education and Applied Linguistics 1, no. 2 (2024): 67–83. http://dx.doi.org/10.61132/ijmeal.v1i2.24.

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The principle of cooperation is definitely needed in a conversation, because with this principle, speakers and interlocutors can communicate cooperatively. Apart from helping speakers and speech partners achieve common goals in conversation, the maxim of cooperation can also provide a framework for communication to be more efficient and effective, so that it can benefit speakers and speech partners. However, sometimes in a conversation, violations arise from the speaker or speech partner involved and result in a violation of the principle of cooperation. Violations in the principle of cooperat

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SUPARTA, IDA KADE. "IMPLEMENTASI SAMBHAṢAṆA DALAM UPAYA MENGEMBANGKAN KEMAMPUAN DASAR BERBAHASA SANSKERTA". GANEC SWARA 16, № 2 (2022): 1637. http://dx.doi.org/10.35327/gara.v16i2.329.

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The view of sanskrit as a dead language and a language that is difficult to learn is not completely correct and must slowly be eliminated. Awareness to increase the existence of sanskrit has been initiated in several parts of the world by making it a daily communication language. The basic learning of sanskrit which is initiated at this time places more emphasis on communication skills, not on the grammatical structure. Learning is packaged more effectively and efficiently through the sambhaṣaṇa (conversation) method by applying simple grammar or communication patterns. Conversation is a very

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Elia, Giovanni, and Ann Marie Sweeney. "The development of an ASCO-compliant, user-friendly electronic template to improve documentation and retrieval of advance care planning conversations: The approach of a community-based oncology practice." JCO Oncology Practice 19, no. 11_suppl (2023): 36. http://dx.doi.org/10.1200/op.2023.19.11_suppl.36.

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36 Background: Advance Care Planning (ACP) discussions are essential components of patient care. These conversations take place routinely in oncology settings, but their documentation is time consuming and difficult to extract. Methods: Blue Ridge Cancer Care (BRCC), is certified in the ASCO/COA APC4 pilot, planned to improve its documentation of ACP discussions, and took the initiative to create a succinct, user-friendly ACP template that could be documented electronically and easily extracted for data analysis. The ASCO requirements for ACP conversations were reviewed and applied to edit an

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Söderquist, Martin. "Brief therapy conversation: Exploring efficient intervention in psychotherapy. Michael F.Hoytog FlavioCannistràRoutledge2023." Fokus på familien 52, no. 3 (2024): 249–50. http://dx.doi.org/10.18261/fokus.52.3.7.

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Kokhan, Roksoliana, Lidiia Matsevko-Bekerska, and Yuliia Lysanets. "Conversation Analysis Tool as an Effective Means for Teaching the University Courses of English and World Literature." Arab World English Journal 11, no. 4 (2020): 307–18. http://dx.doi.org/10.24093/awej/vol11no4.20.

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This paper aims to demonstrate the effectiveness of the Conversation Analysis Tool in the context of teaching world literature to senior students majoring in English philology. The authors present their experience of undertaking a three-month online course “Constructive Classroom Conversations: Mastering Language for College and Career Readiness,” hosted by Stanford University, and discuss the benefits of applying this tool at universities. The study describes the basic mechanisms of the Conversation Analysis Tool aimed at developing specific communication skills in students of English for Spe

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Peeyush, Phogat, . Shreya, Jha Ranjana, and Singh Sukhvir. "Chalcogenide Nanocomposites for Energy Materials." Engineering and Technology Journal 9, no. 07 (2024): 4580–606. https://doi.org/10.5281/zenodo.13133921.

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This conversation explores various aspects of chalcogenide nanocomposites for energy applications, delving into synthesis methods, environmental concerns, and performance optimization strategies. Discussions highlight the significance of sustainable synthesis techniques like hydrothermal and UV-assisted methods, emphasizing their advantages in terms of economic feasibility and environmental impact. Additionally, attention is drawn to challenges such as limited cycle life and suboptimal efficiency, prompting exploration of solutions including enhanced conductivity, electrode design optimization

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Zam, Nurul Hikmah Alfilail, Sawirman Sawirman, and Fajri Usman. "Textual Analysis of Conversation Evidence in the Burning Sun Case: A Critical Discourse Analysis of Fairclough’s Model." Jurnal Bahasa dan Sastra 12, no. 3 (2024): 517. https://doi.org/10.24036/jbs.v12i3.130355.

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The Burning Sun scandal provides an important opportunity to study the use of language in criminal behavior and its influence on power structures in illegal networks. This research aims to answer the questions: How is language used in conversations related to this scandal to create and sustain criminal behavior? Using critical discourse analysis (CDA) based on Norman Fairclough's framework, this study analyzed conversations related to the case. Conversational evidence was taken from several trusted Korean news portals and categorized by topics such as prostitution, drug use, gambling, and ille

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Elisa, Lusi, and Rina Wahyuni. "Cooperative principle in Facebook interaction among collegian." UAD TEFL International Conference 2 (January 17, 2021): 48. http://dx.doi.org/10.12928/utic.v2.5735.2019.

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One of the main principles guiding people’s communication is the cooperative principle by American linguist Grice. The use of cooperative principle helps people to increase their flexibility and accuracy. The analysis of cooperative principle in a text or conversation shall be the learning for people to communicate well using language with each other. The paper aimed to find out whether the participants under study followed or violated the maxims proposed by Grice. Besides, it was to identify whether the cooperative principles become the participants’ orientation or mere redundant rules. The r

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Borrie, Stephanie A., Tyson S. Barrett, Megan M. Willi, and Visar Berisha. "Syncing Up for a Good Conversation: A Clinically Meaningful Methodology for Capturing Conversational Entrainment in the Speech Domain." Journal of Speech, Language, and Hearing Research 62, no. 2 (2019): 283–96. http://dx.doi.org/10.1044/2018_jslhr-s-18-0210.

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Purpose Conversational entrainment, the phenomenon whereby communication partners synchronize their behavior, is considered essential for productive and fulfilling conversation. Lack of entrainment could, therefore, negatively impact conversational success. Although studied in many disciplines, entrainment has received limited attention in the field of speech-language pathology, where its implications may have direct clinical relevance. Method A novel computational methodology, informed by expert clinical assessment of conversation, was developed to investigate conversational entrainment acros

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Sedliarova, Olga, and Natalia Soloveva. "COMICS AS EDUCATIONAL TOOLS IN TEACHING ENGLISH GRAMMAR, LEXIS AND COMMUNICATION SKILLS." SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference 5 (May 28, 2021): 615–27. http://dx.doi.org/10.17770/sie2021vol5.6228.

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The paper claims comics to be efficient multimodal tools in teaching students of English not only grammar and vocabulary but also some communication skills, social and language norms of conducting a conversation. Being entertaining and having the multimodal potential that results in a strong effect on the recipients’ responsiveness, comics highly motivate students to integrate in education process and make learning fun for teachers and children alike.The authors aim at presenting an algorithm of teaching English and conversation skills by means of comics design teaching passing through the fol

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Aura Salvia Siregar, Dea Bilqis Ananda Br Sinaga, Putri Fadillah, and Arief Sholeiman. "Analisis Kesantunan dan Tindak Tutur Masyarakat (Komunitas Ojol)." Jurnal Yudistira : Publikasi Riset Ilmu Pendidikan dan Bahasa 3, no. 2 (2025): 175–86. https://doi.org/10.61132/yudistira.v3i2.1760.

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This research aims to analyze the Politeness and Speech Acts of the Community (Ojol Community). This research uses a qualitative approach with descriptive method. Data were obtained through direct observation and recording of conversations between online ojek drivers and customers in real situations. Recording is done naturally without intervention to reflect authentic speech acts. The audio data is then transcribed and analyzed using Searle's speech act theory. The analysis is done descriptively qualitative by classifying and interpreting the form and function of utterances in the context of

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Ghamari Kivi, Hossein, and Fatemeh Jamshiddoust Miyanroudi. "Tracking Sequences of Patient-Therapist Dialogues by Coding Responses During Integrative Psychotherapy." Practice in Clinical Psychology 10, no. 2 (2022): 91–110. http://dx.doi.org/10.32598/jpcp.10.2.807.1.

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Objective: The Assimilation of Problematic Experiences Scale (APES) to code the client’s responses and the Process Focused Conversation Analysis (PFCA) to code the therapist’s responses were applied to transcripts of a successful case of integrative psychotherapy of depression. Methods: The method used for the present research was a case study. Dialogues (150 conversations between therapist-client on the basis of meaning) between a therapist and a client in one case with a good outcome were coded and analyzed by two different systems of APES and PFCA. Results: The data revealed that combining

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C, Valarmathi, and S. Sharanya. "Scam Call Detection Using NLP and Naïve Bayes Classifier." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 07 (2024): 1–6. http://dx.doi.org/10.55041/ijsrem36688.

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Financial fraud, particularly credit card fraud, is a pressing concern in the realm of digital transactions. The number of phone scams is increasing daily as con artists use phone calls to target victims for nefarious ends. Individuals are falling for con artists' proposals, becoming victims and giving up their personal information, leaving them open to abuse. Effective detection techniques are becoming more and more necessary. In this study, we offer an efficient approach to scam call identification utilizing speech-to-text libraries and the machine learning technique Naïve Bayes classifier.

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Cowell, Andrew J., Michelle L. Gregory, Joe Bruce, et al. "Understanding the Dynamics of Collaborative Multi-Party Discourse." Information Visualization 5, no. 4 (2006): 250–59. http://dx.doi.org/10.1057/palgrave.ivs.9500139.

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In this paper, we discuss the efforts underway at the Pacific Northwest National Laboratory in understanding the dynamics of multi-party discourse across a number of communication modalities, such as email, instant messaging traffic and meeting data. Two prototype systems are discussed. The Conversation Analysis Tool (ChAT) is an experimental test-bed for the development of computational linguistic components and enables users to easily identify topics or persons of interest within multi-party conversations, including who talked to whom, when, the entities that were discussed, etc. The Retrosp

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Putri, Rani Wela, and Silpia Rahayu. "VIOLATION OF COOPERATIVE PRINCIPLES OF MAURICE IN THE BEAUTY AND THE BEAST MOVIE." PROJECT (Professional Journal of English Education) 5, no. 2 (2022): 256. http://dx.doi.org/10.22460/project.v5i2.p256-261.

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This study was created based on concerning the importance of efficient language use. The language use can be called efficient if the message is unambiguous, clear, and can be understood by both speaker and listener. This study purposes to investigate the violation of quality maxim, quantity maxim, relevance maxim and manner maxim of Grice Maurice maxim’s Cooperative Principle in the conversation of characters in Beauty and the Beast movie. In fact, there are several maxim violations that happened in human life especially figured in the movie. The maxim violation may cause misunderstanding whil

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Chen, Ruidong, Weina Niu, Xiaosong Zhang, Zhongliu Zhuo, and Fengmao Lv. "An Effective Conversation-Based Botnet Detection Method." Mathematical Problems in Engineering 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/4934082.

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A botnet is one of the most grievous threats to network security since it can evolve into many attacks, such as Denial-of-Service (DoS), spam, and phishing. However, current detection methods are inefficient to identify unknown botnet. The high-speed network environment makes botnet detection more difficult. To solve these problems, we improve the progress of packet processing technologies such as New Application Programming Interface (NAPI) and zero copy and propose an efficient quasi-real-time intrusion detection system. Our work detects botnet using supervised machine learning approach unde

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Hemanth, Bollepalli Sri Sai. "Whatsapp Chat Analyzer Using Machine Learning." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem31024.

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WhatsApp has emerged as the go-to method for communication. Conversations on WhatsApp cover a wide range of topics among individuals or groups. This data can be valuable for advancing technologies like machine learning, which rely on quality data for effective learning experiences. Our tool is designed to offer comprehensive analysis of WhatsApp data, regardless of the subject of the conversation. By using our developed code, a deeper insight into the data can be achieved. One great benefit of this tool is that it utilizes common Python libraries like Pandas, Matplotlib, Seaborn, Streamlit, Nu

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Andy, Andy, and Ambalegin Ambalegin. "MAXIMS VIOLATION ON “NIGHT AT THE MUSEUM” MOVIE." JURNAL BASIS 6, no. 2 (2019): 215. http://dx.doi.org/10.33884/basisupb.v6i2.1421.

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This research was created based on concerning the importance of efficient language use. The language use can be called efficient if the message is clear, unambiguous and can be understood by both speaker and hearer. Cooperative principles proposed by Grice (1975) explained the way people use the language well and efficiently. There are at least four maxims that should be followed in order to have achieve connection during conversation which are 1) maxim of manner, 2) maxim of quantity, 3) maxim of quality, and 4) maxim of manner. In fact, there are several maxim violations happened in human li

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Briška, Mareks, and Sandra Ežmale. "E - COMMERCE CONVERSION MANAGEMENT AND OPTIMIZATION PRINCIPLES." HUMAN. ENVIRONMENT. TECHNOLOGIES. Proceedings of the Students International Scientific and Practical Conference, no. 25 (April 23, 2021): 32–38. http://dx.doi.org/10.17770/het2021.25.6776.

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The conversion rate optimisation (CRO) essentially contains huge configuration capabilities, but it cannot be called a sophisticated marketing technique. Increased income, attracting new customers and reconnecting existing customers: these are just some of the benefits of an improved, efficient and constantly moving e-commerce site, so it is important to understand the conversion technique correctly before starting business on the Internet or performing optimization procedures. The objective of the research is to analyze the principles of e- commerce conversation management and optimisation. T

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Barsukova, Marina I., and Tatyana V. Rodionova. "The means of expressing the category of politeness in medical discourse (On the material of the doctor and patient speech communication)." Izvestiya of Saratov University. Philology. Journalism 22, no. 4 (2022): 377–84. http://dx.doi.org/10.18500/1817-7115-2022-22-4-377-384.

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The article considers the communicative category of politeness and defines the role of this category in the process of professional doctor-patient communication. The category of politeness functions in the form of speech etiquette and is obligatory in doctor-patient conversations. The authors have analyzed the means of realization of speech etiquette and politeness in situations of professional medical communication, and determined those which are most frequently used in strategies of medical discourse. The hypothesis of the investigation is as follows: the efficiency of the dialogue created a

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Bocerean, Christine, and Michel Musiol. "Mutual understanding mechanism in verbal exchanges between carers and multiply-disabled young people." Pragmatics. Quarterly Publication of the International Pragmatics Association (IPrA) 19, no. 2 (2009): 161–77. http://dx.doi.org/10.1075/prag.19.2.01boc.

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The present article describes a study in which conversation analysis was used to investigate the verbal interactions between carers and profoundly multiply disabled young people. We examine the cognitive processes that come into play in conversations, and describe and analyze the interactional effects of pathologies on the cognitive processes involved in comprehension. We identify the rationality and reasoning processes to which the disabled person is susceptible, that is to say, that person’s cognitive efficiency, and the communication strategies employed by the “normal” interlocutor. The cor

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Kaur, Inderjit, and Dr Pardeep Saini. "Data Mining Framework for Network Intrusion Detection using Efficient Techniques." International Journal of Advanced Engineering, Management and Science 9, no. 8 (2023): 36–41. http://dx.doi.org/10.22161/ijaems.98.6.

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The implementation measures the classification accuracy on benchmark datasets after combining SIS and ANNs. In order to put a number on the gains made by using SIS as a strategic tool in data mining, extensive experiments and analyses are carried out. The predicted results of this investigation will have implications for both theoretical and applied settings. Predictive models in a wide variety of disciplines may benefit from the enhanced classification accuracy enabled by SIS inside ANNs. An invaluable resource for scholars and practitioners in the fields of AI and data mining, this study add

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Milla-Amekor, Emilia Etsa. "Energy Efficiency and Conservation of Hotels in Ghana: A Systematic Review Article." Asian Journal of Advanced Research and Reports 18, no. 8 (2024): 251–58. http://dx.doi.org/10.9734/ajarr/2024/v18i8727.

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Objective: This study seeks to review on energy efficiency and conversation of hotels in Ghana. Methods: The reviewed studies adopted a cross-sectional study design. A systematic review was carried out with the aid of online research journal websites as well as other in-context articles. While conducting this study, the key words in the search query were directed towards energy efficiency and conversation of hotels in Ghana. Areas noted in relation to this study was use of green practices in hotels. Therefore, there was linkage of papers pointing out on energy efficiency and conversation of ho

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Kydros, Dimitrios, Maria Argyropoulou, and Vasiliki Vrana. "A Content and Sentiment Analysis of Greek Tweets during the Pandemic." Sustainability 13, no. 11 (2021): 6150. http://dx.doi.org/10.3390/su13116150.

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During the time of the coronavirus, strict prevention policies, social distancing, and limited contact with others were enforced in Greece. As a result, Twitter and other social media became an important place of interaction, and conversation became online. The aim of this study is to examine Twitter discussions around COVID-19 in Greece. Twitter was chosen because of the critical role it played during the global health crisis. Tweets were recorded over four time periods. NodeXL Pro was used to identify word pairs, create semantic networks, and analyze them. A lexicon-based sentiment analysis

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Nambiar, Sidharth S. "Efficient AI Algorithm for Preliminary Diagnosis of Dermatological Manifestations." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 5274–80. https://doi.org/10.22214/ijraset.2025.71432.

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Abstract: In addition to reviewing the present scenario, this studyendeavors to predict and outline future trends in AI applications within dermatology[1]. By leveraging insights from the evolving technological landscape, this researchaimstoprovidevaluableguidanceforresearchers, healthcare practitioners, and technology developers. Ultimately, this studycontributes to the ongoing discourse on AI's disruptive potential in dermatology[2], steering future breakthroughs and fostering advancements that elevate patient care and outcomes. This study aims to forecast and define future trends in AI appl

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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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Bhujbal, Ms Pratiksha Mohan, Ms Renuka A. Gavandhare, Ms Pallavi Rajendra Gobe, and Prof R. G. Ghodake. "AI based Chatbot for Students FAQs." International Journal of Research In Science & Engineering, no. 21 (January 21, 2022): 45–49. http://dx.doi.org/10.55529/ijrise.21.45.49.

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In the ever-evolving landscape of education, providing efficient and accessible information to students is paramount. This project introduces the development of an Artificial Intelligence (AI) based chatbot tailored for handling Frequently Asked Questions (FAQs) from students. The chatbot is implemented using the Python programming language, leveraging the Chatterbot library for natural language processing and conversation management.

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Solimeno, Alessandro. "LIFE NIMBUS: From Wastewater to Green Fuel." EU Research Summer 2025, no. 42 (2025): 60–61. https://doi.org/10.56181/pifh7068.

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Turning wastewater into biomethane for city buses, the LIFE NIMBUS project is paving the way for circular-economy innovations. In conversation with Dr. Alessandro Solimeno, Researcher and Project Manager at Cetaqua-Water Technology Centre we discover how this Barcelona-based initiative not only slashes emissions but also showcases a practical model for greener, more efficient urban transport.

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Mathiasen, M., S. Suhr Kjærgaard, and K. Piil. "P22.01.A PERSON-CENTRED PRACTICE: EXPLORING FAMILY STRENGTH BY USING GENOGRAMS AND ECOMAPS." Neuro-Oncology 25, Supplement_2 (2023): ii133. http://dx.doi.org/10.1093/neuonc/noad137.450.

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Abstract BACKGROUND Illness of a family member impacts the entire family. Family relationships, roles and tasks often change, and neuro-oncological caregivers experience a high level of burden and distress when playing a vital role in the informal care of the patient. The theory of Family Systems Nursing advises to approach the family rather than merely the patient. Within Family System Nursing the Family Nursing Conversations is an important intervention that focus on the interactions within a family and between the nurse and the family. The Calgary Family Assessment and Intervention Model (C

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Samanta, Suranjana, Ajay Gupta, Prateeti Mohapatra, and Amar Prakash Azad. "Carbon to Diamond: An Incident Remediation Assistant System From Site Reliability Engineers’ Conversations in Hybrid Cloud Operations." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 17 (2021): 15401–7. http://dx.doi.org/10.1609/aaai.v35i17.17809.

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Conversational channels are changing the landscape of hybrid cloud service management. These channels are becoming important avenues for Site Reliability Engineers (SREs) %Subject Matter Experts (SME) to collaboratively work together to resolve an incident or issue. Identifying segmented conversations and extracting key insights or artefacts from them can help engineers to improve the efficiency of the incident remediation process by using information retrieval mechanisms for similar incidents. However, it has been empirically observed that due to the semi-formal behavior of such conversations

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