Log in

Relevant bibliographies by topics / Natural conversation / Journal articles

To see the other types of publications on this topic, follow the link: Natural conversation.

Journal articles on the topic 'Natural conversation'

Author: Grafiati

Published: 25 May 2024

Last updated: 31 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Natural conversation.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

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

Full text

Abstract:

<p>Conversation comes as two ways communication used in daily activities. The large numbers of conversations lead some researchers to analyze it. Conversation has been the primary interest to language researchers since natural, unplanned, everyday conversation is the most commonly occurring and universal language genre (Riggenbach, 1999). Conversation is a speech activity in which all members of a community routinely participate. Among other approaches to discourse analysis used in teaching speaking, conversation analysis (CA) is one of the convenient practical devices in teaching oral E

APA, Harvard, Vancouver, ISO, and other styles

2

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

3

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

4

Althoff, Tim, Kevin Clark, and Jure Leskovec. "Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health." Transactions of the Association for Computational Linguistics 4 (December 2016): 463–76. http://dx.doi.org/10.1162/tacl_a_00111.

Full text

Abstract:

Mental illness is one of the most pressing public health issues of our time. While counseling and psychotherapy can be effective treatments, our knowledge about how to conduct successful counseling conversations has been limited due to lack of large-scale data with labeled outcomes of the conversations. In this paper, we present a large-scale, quantitative study on the discourse of text-message-based counseling conversations. We develop a set of novel computational discourse analysis methods to measure how various linguistic aspects of conversations are correlated with conversation outcomes. A

APA, Harvard, Vancouver, ISO, and other styles

5

Nishfullayli, Sa'idatun, Lea Santiar, and Harni Kartika Ningsih. "Discourse Structure Analysis of Making Request in Japanese Conversation." JAPANEDU: Jurnal Pendidikan dan Pengajaran Bahasa Jepang 8, no. 2 (2023): 94–110. http://dx.doi.org/10.17509/japanedu.v8i2.61548.

Full text

Abstract:

Making requests (irai) is a genre of spoken interaction that is taught from the basic level of learning Japanese as a foreign language. A request is one of the speech acts that may raise face-threatening potentials. Understanding the stages of request appropriate to Japanese culture is thus essential for Japanese learners to achieve successful conversation. Therefore, conversation pedagogy by using a discourse approach is essential. This study investigates a potential structure gap in Japanese making-requests conversations realized in actual settings and textbook conversational models. By empl

APA, Harvard, Vancouver, ISO, and other styles

6

McGRATH, LARRY S. "Quit Playing Language Games with My Heart; or, Conversational AI and Knowledge Sharing." Ethnographic Praxis in Industry Conference Proceedings 2024, no. 1 (2024): 255–76. https://doi.org/10.1111/epic.12205.

Full text

Abstract:

This paper shares guidance for designing conversational AI based on findings from linguistic and social analysis of core shifts introduced by large language models. When Duolingo and Babbel added AI features to their language learning apps, the games that users play on the apps was transformed, giving us a window into the structure of AI‐driven user interactions in general. Dynamic, turn‐taking dialogues resembling natural conversation now appear alongside multiple‐choice and drag‐and‐drop vocabulary games. The transformation is not just technological: It also lays bare the shifting language g

APA, Harvard, Vancouver, ISO, and other styles

7

Hassan, Mahmudul, Shahriar Shakil, Nazmun Nessa Moon, et al. "Sentiment analysis on Bangla conversation using machine learning approach." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 5 (2022): 5562. http://dx.doi.org/10.11591/ijece.v12i5.pp5562-5572.

Full text

Abstract:

<span>Nowadays, online communication is more convenient and popular than face-to-face conversation. Therefore, people prefer online communication over face-to-face meetings. Enormous people use online chatting systems to speak with their loved ones at any given time throughout the world. People create massive quantities of conversation every second because of their online engagement. People's feelings during the conversation period can be gleaned as useful information from these conversations. Text analysis and conclusion of any material as summarization can be done using sentiment analy

APA, Harvard, Vancouver, ISO, and other styles

8

Mahmudul, Hassan, Shakil Shahriar, Nessa Moon Nazmun, et al. "Sentiment analysis on Bangla conversation using machine learning approach." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 5 (2022): Detection approach. https://doi.org/10.11591/ijece.v12i5.pp5562-5572.

Full text

Abstract:

Nowadays, online communication is more convenient and popular than face-to-face conversation. Therefore, people prefer online communication over face-to-face meetings. Enormous people use online chatting systems to speak with their loved ones at any given time throughout the world. People create massive quantities of conversation every second because of their online engagement. People's feelings during the conversation period can be gleaned as useful information from these conversations. Text analysis and conclusion of any material as summarization can be done using sentiment analysis by n

APA, Harvard, Vancouver, ISO, and other styles

9

Wimbassa, Muhamad Dwirizqy, Taswiyah Marsyah Noor, Salma Yasara, Vannesha Vannesha, Tubagus Muhammad Arsyah, and Abdiansah Abdiansah. "Emotional Text Detection dengan Long Short Term Memory (LSTM)." Format : Jurnal Ilmiah Teknik Informatika 12, no. 2 (2023): 158. http://dx.doi.org/10.22441/format.2023.v12.i2.009.

Full text

Abstract:

Emotional Text Detection is a technique in natural language processing that aims to identify the emotions contained in conversations or text messages. The LSTM (Long Short-Term Memory) method is one of the techniques used in natural language processing to model and predict sequential data. In this study, we propose the use of the LSTM method for emotion detection in conversation. The dataset used is a conversational dataset that contains positive, negative, and neutral emotions. We process datasets using data pre-processing techniques such as tokenization, data cleansing and one-hot encoding.

APA, Harvard, Vancouver, ISO, and other styles

10

Ansari, Tarique. "Conversational AI Assistant." International Journal for Research in Applied Science and Engineering Technology 10, no. 11 (2022): 1169–72. http://dx.doi.org/10.22214/ijraset.2022.47554.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

11

HOPKINS, ZOË, NICOLA YUILL, and BILL KELLER. "Children with autism align syntax in natural conversation." Applied Psycholinguistics 37, no. 2 (2015): 347–70. http://dx.doi.org/10.1017/s0142716414000599.

Full text

Abstract:

ABSTRACTPrevious experimental work has shown that verbal children with an autism spectrum disorder (ASD) converge linguistically, or align, with an interlocutor, and to the same extent as typical children. However, it is not known whether ASD children align in natural conversation. The studies presented in this paper aimed to address this issue. We measured syntactic alignment in ASD children, first using an experimental task, and second in natural conversation. We found that ASD and typical children aligned to the same extent in both tasks, suggesting that experimental findings about alignmen

APA, Harvard, Vancouver, ISO, and other styles

12

Lertpoompunya, Angkana, Nathan C. Higgins, Erol J. Ozmeral, and David A. Eddins. "Head movement during natural group conversation and inter-annotator agreement on manual annotation." Journal of the Acoustical Society of America 154, no. 4_supplement (2023): A111—A112. http://dx.doi.org/10.1121/10.0022958.

Full text

Abstract:

During speech communication and conversational turn-taking, listeners direct their head and eyes to receive meaningful auditory and visual cues. Features of these behaviors may convey listener intent. This study designed a test environment, data collection protocol and procedures, and investigated head movement behaviors during self-driven conversations among multiple partners. Nine participants were tested in cohorts of three. Participants wore a headset with sensors tracked by an infrared camera system. Participants watched an audio-video clip, followed by a 5-min undirected discussion. The

APA, Harvard, Vancouver, ISO, and other styles

13

Lindsay, Laura, Chiara Gambi, and Hugh Rabagliati. "Preschoolers Optimize the Timing of Their Conversational Turns Through Flexible Coordination of Language Comprehension and Production." Psychological Science 30, no. 4 (2019): 504–15. http://dx.doi.org/10.1177/0956797618822802.

Full text

Abstract:

Conversation is the natural setting for language learning and use, and a key property of conversation is the smooth taking of turns. In adult conversations, delays between turns are minimal (typically 200 ms or less) because listeners display a striking ability to predict what their partner will say, and they formulate a response before their partner’s turn ends. Here, we tested how this ability to coordinate comprehension and production develops in preschool children. In an interactive paradigm, 106 children (ages 3–5 years) and 48 adults responded to questions that varied in predictability b

APA, Harvard, Vancouver, ISO, and other styles

14

Belainine, Billal, Fatiha Sadat, and Hakim Lounis. "Modelling a Conversational Agent with Complex Emotional Intelligence." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 10 (2020): 13710–11. http://dx.doi.org/10.1609/aaai.v34i10.7127.

Full text

Abstract:

Chatbots or conversational agents have enjoyed great popularity in recent years. They surprisingly perform sensitive tasks in modern societies. However, despite the fact that they offer help, support, and fellowship, there is a task that is not yet mastered: dealing with complex emotions and simulating human sensations. This research aims to design an architecture for an emotional conversation agent for long-text conversations (multi-turns). This agent is intended to work in areas where the analysis of users feelings plays a leading role. This work refers to natural language understanding and

APA, Harvard, Vancouver, ISO, and other styles

15

Kum, Junyeong, and Myungho Lee. "Can Gestural Filler Reduce User-Perceived Latency in Conversation with Digital Humans?" Applied Sciences 12, no. 21 (2022): 10972. http://dx.doi.org/10.3390/app122110972.

Full text

Abstract:

The demand for a conversational system with digital humans has increased with the development of artificial intelligence. Latency can occur in such conversational systems because of natural language processing and network issues, which can deteriorate the user’s performance and the availability of the systems. There have been attempts to mitigate user-perceived latency by using conversational fillers in human–agent interaction and human–robot interaction. However, non-verbal cues, such as gestures, have received less attention in such attempts, despite their essential roles in communication. T

APA, Harvard, Vancouver, ISO, and other styles

16

Stovall, Preston. "On the Natural Ground of Discursive Cognition." Philosophical Topics 50, no. 1 (2022): 109–34. http://dx.doi.org/10.5840/philtopics20225016.

Full text

Abstract:

Despite increasing interest in shared intentionality in both philosophy and the sciences over the last three decades, there has been little comparison of philosophical with empirical accounts of the phenomenon. At the same time, both philosophical and scientific investigations into shared intentionality as a ground of our cognition have developed into widespread research programs during this period. This has laid the groundwork for a productive conversation, across the sciences and humanities, about the nature of human cognition qua discursive or rational. In this essay, I map some of the conc

APA, Harvard, Vancouver, ISO, and other styles

17

Ermakova, Olga P. "Indirect responses in natural conversation." International Journal “Speech Genres” 31, no. 3 (2021): 181–89. http://dx.doi.org/10.18500/2311-0740-2021-3-31-181-189.

Full text

Abstract:

By indirect answers we mean answers to general questions which do not correspond to “yes” and “no”, and answers to special questions which do not literally correlate with the question words who, what, where, etc. The article examines the types of indirect responses in different structural and semantic types of dialogue. The article analyzes the features of indirect answers determined by the predictive relationship of concepts: place-goal, place-time, etc. Particular attention is paid to answers containing assessment, not determineded by the content of questions, as well as question-answer turn

APA, Harvard, Vancouver, ISO, and other styles

18

Rasmussen, Gitte. "Analyzing interaction involving wheelchairs." Journal of Interactional Research in Communication Disorders 14, no. 2 (2023): 328–55. http://dx.doi.org/10.1558/jircd.25573.

Full text

Abstract:

Background: This study shows how the use of wheelchairs due to mobility impairment influences the configuration of interactional spaces and the initiation of conversation. It takes as a case in point the spatial arrangements and interactions between sports students using wheelchairs and their co-participants in a Danish sports high school. Method: Using the framework of research into ethnomethodological conversation analysis (EMCA) in atypical multimodal interaction, this study demonstrates how co-participants with and without impairments consider factors such as the position, size, design, an

APA, Harvard, Vancouver, ISO, and other styles

19

Sudartinah, Titik. "A Conversation Analysis of Two-year-old Children’s Speech in Child-Adult Interactions." Jurnal Obsesi : Jurnal Pendidikan Anak Usia Dini 7, no. 3 (2023): 3345–56. http://dx.doi.org/10.31004/obsesi.v7i3.4586.

Full text

Abstract:

Social interactions with adults around them are the main exposures to language that children receive, and these contribute significantly to their development. In response to this, this article examines the participation of two-year-old children in conversations with adults, aimed at describing the parties initiating conversation topics and identifying the structure of the conversations. The research used a qualitative method in the form of a case study, involving 5 children aged two years and their parents as participants. The data were collected through recorded natural conversations between

APA, Harvard, Vancouver, ISO, and other styles

20

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

21

Wanless, Liz, Heather Kennedy, Melissa Davies, Michael L. Naraine, and Ann Pegoraro. "Look What We Have Here: Exploring Brand-Related Sport Consumer Twitter Conversation Topics." Sport Marketing Quarterly 33, no. 2 (2024): 150–65. http://dx.doi.org/10.32731/smq.2024.a929611.

Full text

Abstract:

Abstract: As sport organizations leverage social media as a critical component of marketing strategy, tools for exploring the large volume of sport consumer social media conversations are vital. This scholarship demonstrates the value of unsupervised latent Dirichlet allocation (LDA) as a tool for exploring consumers' digital conversations. Specifically, unsupervised LDA was applied to derive latent topics among Women's National Basketball Association-related Twitter conversation over the course of the 2020 season. Quantitative (cv and umass scores) and qualitative (two expert reviews) approac

APA, Harvard, Vancouver, ISO, and other styles

22

Wanless, Liz, Heather Kennedy, Melissa Davies, Michael Naraine, and Ann Pegoraro. "Look What We Have Here: Exploring Brand-Related Sport Consumer Twitter Conversation Topics." Sport Marketing Quarterly 33, no. 2 (2024): 150–65. https://doi.org/10.32731/smq.332.062024.04.

Full text

Abstract:

As sport organizations leverage social media as a critical component of marketing strategy, tools for exploring the large volume of sport consumer social media conversations are vital. This scholarship demonstrates the value of unsupervised latent Dirichlet allocation (LDA) as a tool for exploring consumers’ digital conversations. Specifically, unsupervised LDA was applied to derive latent topics among Women’s National Basketball Association-related Twitter conversation over the course of the 2020 season. Quantitative (cv and umass scores) and qualitative (two expert reviews) approaches were u

APA, Harvard, Vancouver, ISO, and other styles

23

VanDam, Mark, Lauren Thompson, David Jeson, et al. "Preschoolers with hearing loss have asymmetries in the rate of initiating conversations." Journal of the Acoustical Society of America 153, no. 3_supplement (2023): A291. http://dx.doi.org/10.1121/10.0018887.

Full text

Abstract:

Recent work has shown that preschool children initiate more conversations than their mothers and fathers. It has also been shown that boys and girls initiate conversations at about the same rate. It is not known if children with hearing loss initiate conversations at comparable rates to their typically-developing peers, or whether boys and girls with hearing loss differ. In this work, we collected daylong audio recordings from preschoolers with hearing loss using a body-worn audio recorder. We used automatic speech processing routines on the 7600 + hours of audio to identify talkers and conver

APA, Harvard, Vancouver, ISO, and other styles

24

Beaver, Ian, and Abdullah Mueen. "On the Care and Feeding of Virtual Assistants: Automating Conversation Review with AI." AI Magazine 42, no. 4 (2022): 29–42. http://dx.doi.org/10.1609/aimag.v42i4.15101.

Full text

Abstract:

With the rise of intelligent virtual assistants (IVAs), there is a necessary rise in human effort to identify conversations containing misunderstood user inputs. These conversations uncover error in natural language understanding and help prioritize improvements to the IVA. As human analysis is time consuming and expensive, prioritizing the conversations where misunderstanding has likely occurred reduces costs and speeds IVA improvement. In addition, less conversations reviewed by humans mean less user data are exposed, increasing privacy. We describe Trace AI, a scalable system for automated

APA, Harvard, Vancouver, ISO, and other styles

25

Beaver, Ian, and Abdullah Mueen. "On the Care and Feeding of Virtual Assistants: Automating Conversation Review with AI." AI Magazine 42, no. 4 (2022): 29–42. http://dx.doi.org/10.1609/aaai.12024.

Full text

Abstract:

With the rise of intelligent virtual assistants (IVAs), there is a necessary rise in human effort to identify conversations containing misunderstood user inputs. These conversations uncover error in natural language understanding and help prioritize improvements to the IVA. As human analysis is time consuming and expensive, prioritizing the conversations where misunderstanding has likely occurred reduces costs and speeds IVA improvement. In addition, less conversations reviewed by humans mean less user data are exposed, increasing privacy. We describe Trace AI, a scalable system for automated

APA, Harvard, Vancouver, ISO, and other styles

26

Simmons-Mackie, Nina N., and Jack S. Damico. "The Contribution of Discourse Markers to Communicative Competence in Aphasia." American Journal of Speech-Language Pathology 5, no. 1 (1996): 37–43. http://dx.doi.org/10.1044/1058-0360.0501.37.

Full text

Abstract:

Discourse markers, expressions used to organize conversational interaction, are widely used by speakers in social conversation. An ethnographic investigation of compensatory strategies employed in natural communication by two aphasic subjects revealed a variety of behaviors fulfilling the requirements of discourse markers. The role of discourse markers as compensatory strategies to promote conversation in aphasia is discussed, with descriptive examples drawn from the ethnographic study.

APA, Harvard, Vancouver, ISO, and other styles

27

Nakauchi, Yasushi, Takeshi Takahashi, Piyawat Naphattalung, Takashi Matsubara, and Eiichi Kashiwagi. "Commitment-based Natural Language Interface System for Robots." Journal of Robotics and Mechatronics 14, no. 5 (2002): 490–96. http://dx.doi.org/10.20965/jrm.2002.p0490.

Full text

Abstract:

In this paper, we first discuss how the commitment in human-robot natural language conversation is important and the lack of the commitment leads to breakdowns in conversation. Then, we propose a human-robot conversation model, which takes the breakdown into consideration. We implemented a natural language interface system of a mobile robot, based on the proposed conversation model. Then, we conducted experiments with subjects and confirmed that the proposed interface system provides more natural conversation between human and robot with fewer breakdowns.

APA, Harvard, Vancouver, ISO, and other styles

28

Chen, Yu-Chuan, and Hen-Hsen Huang. "Exploring Conversational Adaptability: Assessing the Proficiency of Large Language Models in Dynamic Alignment with Updated User Intent." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 22 (2025): 23642–50. https://doi.org/10.1609/aaai.v39i22.34534.

Full text

Abstract:

This paper presents a practical problem in dialogue systems: the capability to adapt to changing user intentions and resolve inconsistencies in conversation histories. It is crucial in scenarios like train ticket booking, where travel plans often change dynamically. Notwithstanding the advancements in NLP and large language models (LLMs), these systems struggle with real-time information updates during conversations. We introduce a specialized dataset to evaluate LLM-based chatbots on such conversational adaptability by asking a broad range of open-domain questions, focusing on scenarios where

APA, Harvard, Vancouver, ISO, and other styles

29

Geetha, Dr V., Dr C. K. Gomathy, Mr P. V. Sri Ram, and Surya Prakash L N. "NOVEL STUDY ON NATURAL LANGUAGE PROCESSING." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 11 (2023): 1–11. http://dx.doi.org/10.55041/ijsrem27091.

Full text

Abstract:

Natural Language Processing (NLP) is the tech wiz working tirelessly to break down language barriers between us and our devices. It's the reason our smart phone, tablet or laptop understands our voice commands and translates our languages in a second. NLP is like giving machines the ability to comprehend and respond to language nuances, turning our interactions into seamless conversations. Think of it as the digital polyglot that not only reads but truly understands the messages we convey, from the simplest text to the most intricate emotions. From predictive text to chatbots, NLP is the digit

APA, Harvard, Vancouver, ISO, and other styles

30

Mathewson, Kory, and Piotr Mirowski. "Improvised Theatre Alongside Artificial Intelligences." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 13, no. 1 (2021): 66–72. http://dx.doi.org/10.1609/aiide.v13i1.12926.

Full text

Abstract:

This study presents the first report of Artificial Improvisation, or improvisational theatre performed live, on-stage, alongside an artificial intelligence-based improvisational performer. The Artificial Improvisor is a form of artificial conversational agent, or chatbot, focused on open domain dialogue and collaborative narrative generation. Using state-of-the-art machine learning techniques spanning from natural language processing and speech recognition to reinforcement and deep learning, these chatbots have become more lifelike and harder to discern from humans. Recent work in conversation

APA, Harvard, Vancouver, ISO, and other styles

31

Goh, Ong Sing, Chun Che Fung, Kok Wai Wong, and Arnold Depickere. "Embodied Conversational Agents for H5N1 Pandemic Crisis." Journal of Advanced Computational Intelligence and Intelligent Informatics 11, no. 3 (2007): 282–88. http://dx.doi.org/10.20965/jaciii.2007.p0282.

Full text

Abstract:

This paper presents a novel framework for modeling embodied conversational agent for crisis communication focusing on the H5N1 pandemic crisis. Our system aims to cope with the most challenging issue on the maintenance of an engaging while convincing conversation. What primarily distinguishes our system from other conversational agent systems is that the human-computer conversation takes place within the context of H5N1 pandemic crisis. A Crisis Communication Network, called CCNet, is established based on a novel algorithm incorporating natural language query and embodied conversation agent si

APA, Harvard, Vancouver, ISO, and other styles

32

Oktarini, Kadek Ratih Dwi. "Are You Flirting, Objectifying or What? a Conversation Analysis of “you’re very sexy” Conversational Turn." SOSHUM : Jurnal Sosial dan Humaniora 10, no. 3 (2020): 294–308. http://dx.doi.org/10.31940/soshum.v10i3.1972.

Full text

Abstract:

Intent identification is one of the most critical components in conversational agent design. Conversational agent “is any dialogue system that not only conducts natural language processing but also responds automatically using human language.” (Conversational Agent, 2019). The crux of designing human-like conversational agent is to mimic how human understands another human and then responds “naturally”. The current study attempts to answer the fundamental question: how to model human processes of understanding another human? In order to answer that question, it starts from exploring some basic

APA, Harvard, Vancouver, ISO, and other styles

33

Winarti, Oktifani. "Types of messages used by mothers to communicate the children: conversation analysis." Jurnal Studi Komunikasi (Indonesian Journal of Communications Studies) 7, no. 1 (2023): 285–96. http://dx.doi.org/10.25139/jsk.v7i1.6154.

Full text

Abstract:

Using Conversation Analysis, this paper explores the interaction between a mother and their children while giving morality messages. Conversation Analysis breaks down every interaction between a mother and their children to understand the success of interaction for a mother in delivering moral lessons to her children. By using a natural-setting audio recording and exporting the conversation through excerpts of conversations, this paper reveals three interesting findings from their interaction and turn-taking through varieties of turn-design sequences. The findings of this research show there a

APA, Harvard, Vancouver, ISO, and other styles

34

Beaver, Ian, and Abdullah Mueen. "Automated Conversation Review to Surface Virtual Assistant Misunderstandings: Reducing Cost and Increasing Privacy." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 08 (2020): 13140–47. http://dx.doi.org/10.1609/aaai.v34i08.7017.

Full text

Abstract:

With the rise of Intelligent Virtual Assistants (IVAs), there is a necessary rise in human effort to identify conversations containing misunderstood user inputs. These conversations uncover error in natural language understanding and help prioritize and expedite improvements to the IVA. As human reviewer time is valuable and manual analysis is time consuming, prioritizing the conversations where misunderstanding has likely occurred reduces costs and speeds improvement. In addition, less conversations reviewed by humans mean less user data is exposed, increasing privacy. We present a scalable s

APA, Harvard, Vancouver, ISO, and other styles

35

Wei, Jing, Sungdong Kim, Hyunhoon Jung, and Young-Ho Kim. "Leveraging Large Language Models to Power Chatbots for Collecting User Self-Reported Data." Proceedings of the ACM on Human-Computer Interaction 8, CSCW1 (2024): 1–35. http://dx.doi.org/10.1145/3637364.

Full text

Abstract:

Large language models (LLMs) provide a new way to build chatbots by accepting natural language prompts. Yet, it is unclear how to design prompts to power chatbots to carry on naturalistic conversations while pursuing a given goal such as collecting self-report data from users. We explore what design factors of prompts can help steer chatbots to talk naturally and collect data reliably. To this aim, we formulated four prompt designs with different structures and personas. Through an online study (N = 48) where participants conversed with chatbots driven by different designs of prompts, we asses

APA, Harvard, Vancouver, ISO, and other styles

36

B, Mr DHANUSH. "CHATBOT USING LARGE LANGUAGE MODEL." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem34001.

Full text

Abstract:

The concept of Natural Language Processing has seen a remarkable advancement in the recent years. This remarkable advancement was particularly with the development of Large Language Models (LLM). Large Language Models are used to develop a human like conversations. This LLM is a part of Natural Language Processing which focuses on enabling computers to understand, interpret, and generate human language. The existing system of chatbots does not generate human like responses. The proposed system of chatbots uses the power of Large Language Models to generate more human like responses, providing

APA, Harvard, Vancouver, ISO, and other styles

37

Bardovi-Harling, K., B. A. S. Hartford, R. Mahan-Taylor, M. J. Morgan, and D. W. Reynolds. "Developing pragmatic awareness: closing the conversation." ELT Journal 45, no. 1 (1991): 4–15. http://dx.doi.org/10.1093/elt/45.1.4.

Full text

Abstract:

Abstract Many commercially available English-language materials do not provide natural, or even pragmatically appropriate, conversational models for learners. This paper argues for increasing the role of pragmastics in English-language instruction. Classroom teachers can integrate pragmatics into the language curriculum by drawing on natural conversations, students' observations, and incomplete dialogues in textbooks. The paper provides guide-lines for pragmatically-centred lessons, as well as examples of specific activities, using closings in American English to illustrate these examples.

APA, Harvard, Vancouver, ISO, and other styles

38

Du, Lingxiao. "Query-Based Dialogue Summarization Using BART." Applied and Computational Engineering 29, no. 1 (2024): 160–66. http://dx.doi.org/10.54254/2755-2721/29/20231149.

Full text

Abstract:

Conversation summarisation is the transformation of long conversational texts into concise and accurate summaries, the importance of which lies in improving the user experience and information filtering. As an important natural language processing task, conversation summarisation can provide concise and accurate information and avoid repetition and redundancy. In the dialogue summarisation task, pre-trained language models can be used to summarise long conversations and generate concise and accurate summaries. The aim of this paper is to investigate the possibility of using bidirectional and a

APA, Harvard, Vancouver, ISO, and other styles

39

Wang, Xiaoyang, Chen Li, Jianqiao Zhao, and Dong Yu. "NaturalConv: A Chinese Dialogue Dataset Towards Multi-turn Topic-driven Conversation." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 16 (2021): 14006–14. http://dx.doi.org/10.1609/aaai.v35i16.17649.

Full text

Abstract:

In this paper, we propose a Chinese multi-turn topic-driven conversation dataset, NaturalConv, which allows the participants to chat anything they want as long as any element from the topic is mentioned and the topic shift is smooth. Our corpus contains 19.9K conversations from six domains, and 400K utterances with an average turn number of 20.1. These conversations contain in-depth discussions on related topics or widely natural transition between multiple topics. We believe either way is normal for human conversation. To facilitate the research on this corpus, we provide results of several b

APA, Harvard, Vancouver, ISO, and other styles

40

Norrick, Neal R. "Swearing in literary prose fiction and conversational narrative." Narrative Inquiry 22, no. 1 (2012): 24–49. http://dx.doi.org/10.1075/ni.22.1.03nor.

Full text

Abstract:

This article compares swearing in novels with swearing in everyday talk based on a representative sample of British and American prose fiction and a several large corpora of natural conversation. Swearing allegedly makes fictional dialogue more realistic, but up till now no one has attempted a systematic comparison of fictional and natural conversational swearing. Fiction writers incorporate swearing into their dialogue to delineate characters and to signal emotions, sometimes setting it off from non-swearing talk and commenting on it in various ways. Traditionally, the author’s own voice cont

APA, Harvard, Vancouver, ISO, and other styles

41

Researcher. "UNBINDING THE POTENTIAL OF LARGE LANGUAGE MODELS IN GENERATIVE AI." International Journal of Computer Engineering and Technology (IJCET) 15, no. 5 (2024): 784–93. https://doi.org/10.5281/zenodo.13912309.

Full text

Abstract:

LLMs, or large language models, have created new opportunities for natural language processing and conversation production, transforming the area of Generative Artificial Intelligence (AI). This study explores LLMs' capabilities, obstacles, and innovative possibilities related to Generative AI applications, demonstrating their revolutionary influence. We explore how major developments in LLM technologies, including Transformer, BERT, and GPT-3 architectures, have transformed text production, conversation quality, and context-aware answers. We examine maximizing performance and boosting output

APA, Harvard, Vancouver, ISO, and other styles

42

Goar, Vishal, Nagendra Singh Yadav, and Pallavi Singh Yadav. "Conversational AI for Natural Language Processing: An Review of ChatGPT." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 3s (2023): 109–17. http://dx.doi.org/10.17762/ijritcc.v11i3s.6161.

Full text

Abstract:

ChatGPT is a conversational artificial intelligence model developed by OpenAI, which was introduced in 2019. It employs a transformer-based neural mesh to produce human being responses in real-time, allowing for natural language conversations with a machine. ChatGPT is instructed on huge quantities of data captured using the internet, making it knowledgeable in an extensive span of topics, from news & entertainment to politics and sports. This allows it to generate contextually relevant responses to questions and statements, making the conversation seem more lifelike. The model can be used

APA, Harvard, Vancouver, ISO, and other styles

43

Condrat, Viorica. "Conversation Analysis in "Hills like White Elephants" by Ernest Hemingway." Limbaj şi context = Speech and Context : Rev. de lingvistică, semiotică şi şt. literară 2009 (2) (April 5, 2017): 109–14. https://doi.org/10.5281/zenodo.495178.

Full text

Abstract:

Abstract Conversation may seem chaotic at first sight. Yet, under analysis, it appears to be a highly structured process, which follows specific rules and norms adopted by a given linguistic community. The present article analyzes the conversation interchange between the protagonists of Ernest Hemingway’s short story “Hills like White Elephants”. The undertaken study reveals the similarities between fictional and natural conversations. It is an attempt to prove that any conversation is centered on a practical necessity. The author aims at highlighting the existence of a literary conversation (

APA, Harvard, Vancouver, ISO, and other styles

44

Elvir, Miguel, Avelino J. Gonzalez, Christopher Walls, and Bryan Wilder. "Remembering a Conversation – A Conversational Memory Architecture for Embodied Conversational Agents." Journal of Intelligent Systems 26, no. 1 (2017): 1–21. http://dx.doi.org/10.1515/jisys-2015-0094.

Full text

Abstract:

AbstractThis paper addresses the role of conversational memory in Embodied Conversational Agents (ECAs). It describes an investigation into developing such a memory architecture and integrating it into an ECA. ECAs are virtual agents whose purpose is to engage in conversations with human users, typically through natural language speech. While several works in the literature seek to produce viable ECA dialog architectures, only a few authors have addressed the episodic memory architectures in conversational agents and their role in enhancing their intelligence. In this work, we propose, impleme

APA, Harvard, Vancouver, ISO, and other styles

45

Koegel, Lynn Kern, Zak Koplen, Brittany Koegel, and Robert L. Koegel. "Using a Question Bank Intervention to Improve Socially Initiated Questions in Adolescents and Adults With Autism." Journal of Speech, Language, and Hearing Research 64, no. 4 (2021): 1331–39. http://dx.doi.org/10.1044/2021_jslhr-20-00534.

Full text

Abstract:

Purpose Individuals with autism spectrum disorder (ASD) often have difficulty asking questions during social conversation, which can negatively impact their interactions with peers. The purpose of this study was to assess whether a question bank intervention would be effective in improving question asking during social conversation. Method In the context of a multiple-baseline experimental design, we implemented an intervention using prepractice with question banks designed to increase the number and diversity of questions asked by adolescents and adults with ASD during social conversations wi

APA, Harvard, Vancouver, ISO, and other styles

46

MACBETH, DOUGLAS. "The relevance of repair for classroom correction." Language in Society 33, no. 5 (2004): 703–36. http://dx.doi.org/10.1017/s0047404504045038.

Full text

Abstract:

This article attempts to align a familiar task of classroom teaching, eliciting from students correct answers about their lessons, with a major organizational domain in studies of natural conversation, that of conversational repair. Numerous studies have analyzed correction sequences in classroom discourse, and our discussion pays special attention to McHoul's (1990) treatment of “repair in classroom talk.” McHoul directly measures the findings on repair in studies of natural conversation to the regularities of correction sequences in classroom lessons. It is argued, contra McHoul, that repair

APA, Harvard, Vancouver, ISO, and other styles

47

Omarov, Batyrkhan, Sergazi Narynov, Zhandos Zhumanov, Elmira Alzhanova, Aidana Gumar, and Mariyam Khassanova. "Artificial intelligence enabled conversational agent for mental healthcare." International journal of health sciences 6, no. 3 (2022): 1544–55. http://dx.doi.org/10.53730/ijhs.v6n3.13239.

Full text

Abstract:

Conversational agents are a software program that can converse with users in the manner of a real-world conversation. Artificial intelligence (AI) is not complete without conversation modeling. The most difficult artificial intelligence endeavor since its start has been developing an effective chatbot application. Despite chatbots may do a variety of tasks, their main duty is to accurately understand human speech and respond appropriately. Previously, manual patterns and instructions or simple statistical methods were used to create chatbots architectures. Due to its improved capacity for trai

APA, Harvard, Vancouver, ISO, and other styles

48

Moore, Robert J., Sungeun An, and Olivia H. Marrese. "Understanding is a Two-Way Street: User-Initiated Repair on Agent Responses and Hearing in Conversational Interfaces." Proceedings of the ACM on Human-Computer Interaction 8, CSCW1 (2024): 1–26. http://dx.doi.org/10.1145/3641026.

Full text

Abstract:

Although methods for repairing prior turns in natural conversation are critical for enabling mutual understanding, or successful communication, these methods are seldom built into conversational user interfaces systematically. Chatbots and voice assistants tend to ask users to paraphrase what they said if it was not understood, but users cannot do the same if they encounter trouble in understanding what the agent said. Understanding is a one-way street in most (intent-based) conversation-like interfaces. An exception to this is Moore and Arar (2019), who demonstrate nine types of user-initiate

APA, Harvard, Vancouver, ISO, and other styles

49

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

50

Nan, Guiyu. "Analysis of Korean Speaking Patterns: Through the Drama [God of Study]." Korean Society of Culture and Convergence 44, no. 8 (2022): 59–69. http://dx.doi.org/10.33645/cnc.2022.8.44.8.59.

Full text

Abstract:

The purpose of this study is to examine the pattern of having it in Korean conversation through conversation analysis in the drama [God of Study] and the theory of horse's turn-taking. In this study, the method of having a turn of speech was first classified into two aspects: regular turn of speech and irregular turn of speech, and then regular turn of speech and irregular turn of speech were classified into verbal and nonverbal elements. Through this analysis, in the conclusion of this study, I tried to find a strategy for taking turns in Korean conversation. This study can serve as a basic s

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!