Notes:
A conversation tree is a branching structure that represents a conversation or dialogue between two or more individuals. It consists of a series of interconnected nodes, where each node represents a possible response or action in the conversation. The conversation progresses by following the branches of the tree, based on the responses or actions taken by the participants.
Conversation trees can be used in various contexts, such as natural language processing, interactive storytelling, and customer service. Here are some examples of how conversation trees might be used:
- Natural language processing: Conversation trees can be used to represent the structure and content of a conversation, and to identify patterns or rules that govern the flow of the conversation. This can be useful for tasks such as dialogue management, where the goal is to control the flow of the conversation and ensure that it stays on track.
- Interactive storytelling: Conversation trees can be used to create branching narratives, where the story progresses based on the choices made by the reader or player. This can be used to create interactive novels, games, or other types of interactive content.
- Customer service: Conversation trees can be used to create automated chatbots or other types of customer service systems, where the goal is to provide assistance or answer questions in a natural and human-like way.
A conversation tree and a dialog tree are essentially the same thing. Both refer to a branching structure that represents a conversation or dialogue between two or more individuals. The structure consists of a series of interconnected nodes, where each node represents a possible response or action in the conversation. The conversation progresses by following the branches of the tree, based on the responses or actions taken by the participants.
Both conversation trees and dialog trees can be used in various contexts, such as natural language processing, interactive storytelling, and customer service. They are useful for representing and organizing dialogues or conversations in a structured way, and can be used to facilitate communication and interaction between individuals.
The terms “conversation tree” and “dialog tree” are often used interchangeably and there is no significant difference between the two in terms of their meaning or usage.
Wikipedia:
See also:
Conversation Quest in MEGA World (Multiplayer Educational Game for All)
M Chang, CT Chen, KH Wu, PS Yu – Foundations and Trends in Smart …, 2019 – Springer
… Fig. 3 Conversation Tree Example for Booking a Room at Hotel. As soon as the conversation trees are pre-defined and designed by teachers, teach- ers can use the management system to create a conversation quest and associate it to a conversation tree like Fig. 4 shows. Fig …
Network-Based Pooling for Topic Modeling on Microblog Content
A Ollagnier, H Williams – … Symposium on String Processing and Information …, 2019 – Springer
… First, only direct replies are aggregated ie the first layer of replies from the conversation tree. Manual inspection of full tweet conversation trees showed that the conversation thread can shift in topic as the tree increases in depth …
Who drives successful online conversations? Unveiling the role of first user response
YE Won, J Kang, D Choi, E Park, J Han – Kybernetes, 2019 – emerald.com
… The virality value of a conversation tree becomes smaller when most nodes follow (only) one or a small number of node(s), and larger … That is, the top 1 per cent of the conversation trees in terms of volume and virality were identified as successful conversations, respectively …
Who did They Respond to? Conversation Structure Modeling using Masked Hierarchical Transformer
H Zhu, F Nan, Z Wang, R Nallapati, B Xiang – arXiv preprint arXiv …, 2019 – arxiv.org
… Dur- ing evaluation phase, we use the predicted conversation tree structure by the model to generate the mask … As shown in Table 4, Predict first is a strong baseline due to the fact the conversation trees are relatively flat in Reddit-small dataset (see Table 1). Adding ELMo …
Intelligent conversational agents in healthcare: Hype or hope?
K Denecke, M Tschanz, TL Dorner… – Studies in health …, 2019 – books.google.com
… The results are summarized in the following. 3.1. Strengths Chatbot technology has reached the point to lead a user through a predefined conversation tree … 4.1. Strengths Chatbot technology has reached the point to lead a user through a predefined conversation tree …
Why Keep Arguing? Predicting Engagement in Political Conversations Online
S Shugars, N Beauchamp – SAGE Open, 2019 – journals.sagepub.com
Individuals acquire increasingly more of their political information from social media, and ever more of that online time is spent in interpersonal, peer-to-pee…
Tree LSTMs with Convolution Units to Predict Stance and Rumor Veracity in Social Media Conversations
S Kumar, KM Carley – Proceedings of the 57th Annual Meeting of the …, 2019 – aclweb.org
… The conversation tree shown above has two branches a) T1–R1–R11 and b) T1-R2 … In this research, we extend this line of work on rumor-veracity and stance learning by proposing a new way to represent conversation trees and new LSTM cells that could be used to detect …
Hierarchical propagation networks for fake news detection: Investigation and exploitation
K Shu, D Mahudeswaran, S Wang, H Liu – arXiv preprint arXiv:1903.09196, 2019 – arxiv.org
… The micro-level propaga- tion network indicates the conversation tree represented by reply nodes … (S10) Tree depth : Depth of the micro propagation net- work captures how far is the conversation tree for the tweets/retweets spreading a news piece …
Developing an intelligent tutoring system for robotic?assisted surgery instruction
D Julian, R Smith – … Journal of Medical Robotics and Computer …, 2019 – Wiley Online Library
… pre- test/post-tests, knowledge assessments, tailored feedback, textual information, videos, multimedia-based instruction, interactive conversation trees, and data … Because the history of surgical robotics is extensive, a conversation tree was selected to help train this material and …
Something’s Brewing! Early Prediction of Controversy-causing Posts from Discussion Features
J Hessel, L Lee – arXiv preprint arXiv:1904.07372, 2019 – arxiv.org
… Figure 4 gives samples of conversation trees … efficient of replies to top-level comments (to measure how “clustered” the total discussion is), and Wiener Index of vi- rality (which measures the average pairwise path-length be- tween all nodes in the conversation tree (Wiener, 1947 …
Metrics for Temporal Text Networks
D Vega, M Magnani – Temporal Network Theory, 2019 – Springer
… In [23], the authors use the concept of polyadic conversation, a model where chains of Twitter user interactions (replies, mentions and retweets) during a time interval are first grouped into conversation trees, and then aggregated into a static weighted graph of interactions …
User Profile Analysis in Reddit Debates
T ALSINET, J ARGELICH, R BÉJAR… – … : Proceedings of the …, 2019 – books.google.com
… networks like Reddit. For example, in [2] the authors use network analysis to characterize different as- pects of the conversation tree and in [11] they use LSTM graphs to model the dynamics of conversations in Reddit. In order …
How AI-chatbots can make Dubai smarter?
M Mohasses – 2019 Amity International Conference on Artificial …, 2019 – ieeexplore.ieee.org
… In order to construct a response, Chatbots use a conversation tree that considers all possible answers based on a set of keywords that are mapped to a list of datasets. Fig. 5. How Chatbots work Page 3. 441 II. LITERATURE REVIEW – CHATBOTS …
FaiRecSys: mitigating algorithmic bias in recommender systems
B Edizel, F Bonchi, S Hajian, A Panisson… – International Journal of …, 2019 – Springer
… Content entries are organized by areas of interest called “subreddits.” Subreddit topics include news, politics, gaming, movies, music, books, and many others. Users can also comment the submissions and respond back and forth in a conversation-tree of comments …
A review of Chatbots in education: Practical steps forward
S Cunningham-Nelson, WW Boles, L Trouton… – 2019 – eprints.qut.edu.au
… It has three core elements: • a ‘mobile-first,’ multi-channel application with both text and voice controls; • a back-end administration suite that enables staff to create ‘conversation trees’ and push notifications; • a technical layer that includes Natural Language Processing, Artificial …
Novel use of chatbot technology to educate patients before breast biopsy
A Chetlen, R Artrip, B Drury, A Arbaiza… – Journal of the American …, 2019 – jacr.org
… The framework creates the backend of the messaging service and is hosted on Glitch, an online application server. The conversation tree and branches were written into the framework and is how the system interprets the touch-screen button presses from the users …
Making sense of text with topic models: Using computational methods to reveal latent document groupings in a corpus
S Rodier – projectsomeone.ca
… the site (which influences its visibility), as well as comment on it. These comments are displayed as conversation trees, allowing readers to see what each post on the site is responding to. Also, Reddit’s organization into particular communities and areas …
Columbia at SemEval-2019 Task 7: Multi-task Learning for Stance Classification and Rumour Verification
Z Liu, S Goel, MY Raghuprasad… – Proceedings of the 13th …, 2019 – aclweb.org
… conversations. This model architecture is described below. Neural Network Architecture Inspired by the idea of BranchLSTM (Kochkina et al., 2017), we propose a model based on a sin- gle branch from the conversation tree. Our …
Attention based hierarchical LSTM network for context-aware microblog sentiment classification
S Feng, Y Wang, L Liu, D Wang, G Yu – World Wide Web, 2019 – Springer
… There are several threads in D, and each thread contains sequential microblogs that forming a conversation tree (shown in Figure 2) with an original tweet as root and a number of branches as conversations. Open image in new window Figure 2. Figure 2 …
New Approach for Conversational Agent Definition by Non-Programmers: A Visual Domain-Specific Language
L Rodríguez-Gil, J García-Zubia, P Orduña… – IEEE …, 2019 – ieeexplore.ieee.org
… Flash IDE or Eclipse. Other tools rely on specific XML-based languages [33]. CTAT’s example-tracing tutor creation requires no JESS knowledge and is simpler [37]. Works such as [31] rely on conversation trees. In this case, the …
Using discussion logic in analyzing online group discussions: A text mining approach
S Deng, Y Zhou, P Zhang, A Abbasi – Information & Management, 2019 – Elsevier
… information [20]. For instance, Netscan extracted the “contents of Subject, Date, Organization, Lines, Message ID and Reference lines” to generate relationships in Usenet newsgroups, including conversation trees [37]. Similarly …
Content removal as a moderation strategy: Compliance and other outcomes in the ChangeMyView community
KB Srinivasan, C Danescu-Niculescu-Mizil… – Proceedings of the …, 2019 – dl.acm.org
… Terminology. We use the following terminology throughout this paper: • A post tree is a discussion or conversation tree, rooted at a top-level conversation-starting original post, and also containing the replies to the root post, replies to the replies, and so on as nodes …
Cross-lingual Perspectives about Crisis-Related Conversations on Twitter
J Torres, Carmen Vaca – Companion Proceedings of The 2019 World …, 2019 – dl.acm.org
… The Streaming API allows anyone to retrieve at most a 1% sample of all the Twitter’s data filtered by some parameters [19]. We then augmented the dataset by retrieving the entire conversation tree for the tweets in the initial dataset …
Improving the Scalability of Interactive Visualization Systems for Exploring Threaded Conversations
A McNutt, G Kindlmann – 2019 – mcnutt.in
… scalable manner. We intend to refine our treemap algorithm to preserve adjacency between the separated branches; this im- proved spatial consistency will better match users’ natural mental model of the conversation tree. The …
Social Emotions for Social Robots-Studies on Affective Impressions in Human-Human and Human-Robot Interactions
K Jokinen – International Conference on Social Robotics, 2019 – Springer
… Many (40%) also commented on the technical issues related to speech and repetitive questions like To interrupt the talk and ask simple questions while the robot speaks or At least a bit more options for navigating the conversation tree …
Platform Politics in Europe| A Model for the Analysis of Online Citizen Deliberation: Barcelona Case Study
RB Bravo, J Balcells, A Padró-Solanet – International Journal of …, 2019 – ijoc.org
… Secondly, we explore how the different dimensions of deliberative quality vary over time, as conversation trees progressively develop through users … The structure of the conversation tree shows that most threads are actually a chain of replies that successively alternate for and …
Digital innovation hazards in public sector organizations
M Rosbergen – Management – utupub.fi
Page 1. ABSTRACT Bachelor’s thesis x Master’s thesis Licentiate’s thesis Doctor’s thesis Subject Information management & Global IT management Date 15 August 2019 Author(s) Melanie Rosbergen Student number 520798/2020786 Number of pages 103 …
Fake news detection using stance classification: A survey
AE Lillie, ER Middelboe – arXiv preprint arXiv:1907.00181, 2019 – arxiv.org
… Topic-based features are then an aggre- gation computed from the message- and user- based, such as the fraction of tweets containing URLs. Finally the propagation-based features consider the conversation tree, eg depth of the tree …
Methodology for the Implementation of Virtual Assistants for Education Using Google Dialogflow
R Reyes, D Garza, L Garrido, V De la Cueva… – … Conference on Artificial …, 2019 – Springer
… model. These topics attempt to provide useful advice for how to implement the methodology more efficiently. Decision trees are also called conversation trees and are used to implement the structure of a virtual assistant. They …
Twitter Rumour Detection using Temporal Property of Tweets
NN Parab – 2019 – trap.ncirl.ie
… This information was also used by Yavary and Sajedi (2018) for detecting rumours. The dataset used was the same as previous project for analyzing the conversation trees to detect rumours. The parameter used for detecting rumour was the feedback a tweet received …
AI for Games
I Millington – 2019 – content.taylorfrancis.com
Page 1. AIfor Games THIRD EDITION Page 2. Page 3. AIfor Games THIRD EDITION Ian Millington Page 4. CRC Press Taylor & Francis Group 6000 Broken Sound Parkway NW, Suite 300 Boca Raton, FL 33487-2742 © 2019 …
Mining Data to Profile Communication in FLOSS Communities
B Russo, J Tragust, X Wang – … Free/Libre Open Source Software (FLOSS) …, 2019 – Springer
… identify the downstream tweets, only upstream ones. For this reason, a reconstructed conversation tree using our approach can be only a part of a whole conversation that happens on Twitter. However, due to the focus of the …
Using the eyberg child behaviour inventory to investigate pester power
B Page, A Sharp, L Lockshin, H Sorensen – Journal of Retailing and …, 2019 – Elsevier
… interest, and variables about the length of trip were recorded separately. Atkin’s conversation tree was used for benchmark comparability. Suggestions by clinical researchers, from observations in other contexts, to disregard …
Approaches to Enhancing Transfer of Training using Adaptive Instructional Systems
JT Folsom-Kovarik, B Mostafavi… – 2019 International …, 2019 – ieeexplore.ieee.org
… The GAT is continuing to migrate from a primarily rule-based tool to a multi-agent architecture with virtual human interface to support interactive dialogue through manually authored conversation trees or server-based access to the AutoTutor ASAT …
Computational Models of Interactional Stancetaking
S Kumar – 2019 – pdfs.semanticscholar.org
… and proposed many algorithms. For this dataset, Derczynski et al. proposed an LSTM that uses branch of conversation trees to classify stance in reply posts, and zubiaga2018discourse used and compared many different sequential classifiers. My work extends this thread of …
Organizing Peer Correction in Tertiary STEM Education: An Approach and its Evaluation
N Heller, F Bry – International Journal of …, 2019 – … journals.publicknowledgeproject.org
… of the reviews. On the platform, every comment on a document (such as a review of a homework submission) can receive multiple replies, which in turn can be replied on, possibly yielding a conversation tree. As discussed in …
Understanding and Predicting User Behavior and Content Propagation Patterns in Internet: A Data-Scientific Approach
??? – 2019 – s-space.snu.ac.kr
… 31 Figure 4.1 The distributions of emotional scores of posts are plot- ted. . . . . 34 Figure 4.2 Sentiment scores of texts in conversation trees are plotted. . . . . 35 Figure 4.3 The average difficulties of trees and posts are plotted. 37 …
Joint Rumour Stance and Veracity
AE Lillie, ITU Copenhagen, ER Middelboe… – derczynski.com
… This causes par- tial duplication of comments, as branches can share parent comments. TCAS top level comments are regarded as the source of a rumour and the conversation tree they spawn are the sequences of labels (top-level comment-as-source) …
Joint Rumour Stance and Veracity Prediction
AE Lillie, ER Middelboe, L Derczynski – … of the 22nd Nordic Conference on …, 2019 – ep.liu.se
… This causes par- tial duplication of comments, as branches can share parent comments. TCAS top level comments are regarded as the source of a rumour and the conversation tree they spawn are the sequences of labels (top-level comment-as-source) …
What you say and how you say it: Joint modeling of topics and discourse in microblog conversations
J Zeng, J Li, Y He, C Gao, MR Lyu, I King – Transactions of the Association …, 2019 – MIT Press
… In this work, we follow the common practice in most conversation modeling research (Ritter et al., 2010; Joty et al., 2011; Zhao et al., 2018) to take a conversation as a sequence of turns. To this end, each conversation tree is flattened into root-to-leaf paths …
Automatic Detection of Word Sense Shift
O Herman – is.muni.cz
… A humongous amount of interesting diachronic data is provided by the Reddit comment corpus4, which contains 6 years of comments organized in conversation trees with interesting metadata, such as the score for every comment. There are 1,532,362,437 comments in total …
Danish Stance Classification and Rumour Resolution
AE Lillie, ER Middelboe – arXiv preprint arXiv:1907.01304, 2019 – arxiv.org
… Third-party libraries such as twint17 does exist however, which circumvent the restrictive access through the API by scraping raw data from the website. There seems to be problems with gathering full conversation trees in a simple way with this approach though …
The Mechanics Of Interactive Storytelling
J Vanschamelhout – 2019 – lib.ugent.be
Page 1. THE MECHANICS OF INTERACTIVE STORYTELLING A COMPARATIVE STUDY OF TELLTALE’S THE WALKING DEAD AND BANDERSNATCH Word count: 25,926 Janis Vanschamelhout Student number: 01507445 Supervisor: Prof. Dr. Marco Caracciolo …
Retirement as the finishing line.
TE Sorsa – 2019 – helda.helsinki.fi
Page 1. Retirement as the finishing line. Topic modeling retirement conversations on an online forum. Tiia Emilia Sorsa University of Helsinki Faculty of Social Sciences Social and Public Policy Master’s thesis May 2019 Page 2 …
Using machine learning in social media systems
A Theodosopoulou – 2019 – dspace.lib.uom.gr
Page 1. INTERDEPARTMENTAL MASTER STUDIES PROGRAM ON BUSINESS ADMINISTRATION-MBA Thesis USING MACHINE LEARNING IN SOCIAL MEDIA SYSTEMS of the student ARTEMIS THEODOSOPOULOU of ATHANASIOS mba18021 …
Prosody of Text Communication? How to Induce Synchronization and Coherence in Chat Conversations
K Ziembowicz, A Nowak – International Journal of Human …, 2019 – Taylor & Francis
Page 1. Prosody of Text Communication? How to Induce Synchronization and Coherence in Chat Conversations Karolina Ziembowicza and Andrzej Nowakb,c aDepartment of Social Psychology, The Maria Grzegorzewska University …
Detecting fake news on social media
K Shu, H Liu – Synthesis Lectures on Data Mining and …, 2019 – morganclaypool.com
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Dramatic Storytelling & Narrative Design: A Writer’s Guide to Video Games and Transmedia
R Berger – 2019 – taylorfrancis.com
Page 1. Dramatic Storytelling & Narrative Design A Writer’s Guide to Video Games and Transmedia Page 2. Page 3. Dramatic Storytelling & Narrative Design A Writer’s Guide to Video Games and Transmedia by Ross Berger Page 4 …
Playing with Consent: An Autoethnographic Analysis of Representations of Race, Rape, and Colonialism in BioWare’s Dragon Age
JA Beyer – 2019 – era.library.ualberta.ca
Page 1. Playing with Consent: An Autoethnographic Analysis of Representations of Race, Rape, and Colonialism in BioWare’s Dragon Age by Jocelyn Beyer A thesis submitted in partial fulfillment of the requirements for the degree of …
How Collaborative Synchrony Affects Humanization of Machines and Rehumanization of Humans
AS Larson – 2019 – escholarship.org
Page 1. UC Santa Cruz UC Santa Cruz Electronic Theses and Dissertations Title How Collaborative Synchrony Affects Humanization of Machines and Rehumanization of Humans Permalink https://escholarship.org/uc/item/7tx6h1h1 Author Larson, Alina Sue …
Cognitive interaction with virtual assistants: From philosophical foundations to illustrative examples in aeronautics
D Bernard, A Arnold – Computers in Industry, 2019 – Elsevier
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L Oliver – openriver.winona.edu
Page 1. Winona State University OpenRiver The Winonan – 1990s The Winonan – Student Newspaper 12-17-1997 The Winonan Winona State University Follow this and additional works at: https://openriver.winona.edu/thewinonan1990s …
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Y Liu, J Shi, Y Chen – IEEE Transactions on Computational …, 2019 – ieeexplore.ieee.org
Page 1. This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS 1 Thread Structure Learning on Online Health …
Design and implementation of embodied conversational agents
F Geraci – 2019 – rucore.libraries.rutgers.edu
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