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Antique dialogue and dialectics in english language

G Botirova
2022 Zamonaviy lingvistik tadqiqotlar: xorijiy tajribalar, istiqbolli izlanishlar va tillarni o'qitishning innovatsion usullari  
On the basis of rich empirical material, it is proved that dialectics, as the highest form of human mental activity, is rooted in ancient dialogue and rhetoric as a theory of dialogue, oratorical discursive  ...  The article traces an organic connection between ancient dialogue, which is the art of people's verbal relationships (exchange of opinions, dispute, discussion), and ancient dialectics, which arose in  ...  Aristotle's "Topic" is the first attempt in ancient philosophy to develop a methodological manual on ancient dialogue.  ... 
doi:10.47689/linguistic-research-vol-iss1-pp67-68 fatcat:7xnfimv3fnajtdzlwglxc43lhe

Conversational Recommendation: Formulation, Methods, and Evaluation

Wenqiang Lei, Xiangnan He, Maarten de Rijke, Tat-Seng Chua
2020 Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval  
recommendation; and (4) dialogue understanding and response generation.  ...  Recommender systems have demonstrated great success in information seeking.  ...  This research is also supported by the National Research Foundation, Singapore under its International Research Centres in Singapore Funding Initiative as well as National Natural Science Foundation of  ... 
doi:10.1145/3397271.3401419 dblp:conf/sigir/Lei0RC20 fatcat:hz3vszhqrfejbhmxkohe7ihtsq

A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems [article]

Yang Deng, Wenxuan Zhang, Weiwen Xu, Wenqiang Lei, Tat-Seng Chua, Wai Lam
2022 arXiv   pre-print
Recent years witnessed several advances in developing multi-goal conversational recommender systems (MG-CRS) that can proactively attract users' interests and naturally lead user-engaged dialogues with  ...  Four tasks are often involved in MG-CRS, including Goal Planning, Topic Prediction, Item Recommendation, and Response Generation. Most existing studies address only some of these tasks.  ...  recommendation, chit-chat, QA, topic-focused dialogue, etc.  ... 
arXiv:2204.06923v1 fatcat:r3ove25n2vcwzha4lx3zglvjwa

Page 342 of Journal of Health Politics, Policy and Law Vol. 34, Issue 3 [page]

2009 Journal of Health Politics, Policy and Law  
Topics chosen for dialogue discussion were a melding of themes decided on by the dialogue groups, by the recommendations of the preceding focus groups from the same communities, and the research team.  ...  When the dialogues were finished, each dialogue group with its facilitator wrote a report of the areas it covered and its recommendations.  ... 

An Iterative Multi-Source Mutual Knowledge Transfer Framework for Machine Reading Comprehension

Xin Liu, Kai Liu, Xiang Li, Jinsong Su, Yubin Ge, Bin Wang, Jiebo Luo
2020 Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence  
In this paper, we propose a novel iterative multi-source mutual knowledge transfer framework for MRC.  ...  Experimental results and in-depth analyses on several benchmark datasets demonstrate the effectiveness of our framework.  ...  Topic facts are recommended by the proposed Topic Fact Recommender, and they are represented as discrete categorical variables, in our approach.  ... 
doi:10.24963/ijcai.2020/521 dblp:conf/ijcai/Wu0ZZW20 fatcat:yexmetde3jgvlaae7uhu3v3lvy

Dramasearch. Character-mediated search in cultural heritage

Emanuele Borini, Rossana Damiano, Vincenzo Lombardo, Antonio Pizzo
2009 2009 2nd Conference on Human System Interactions  
The character interacts with the user through a multimodal interface, with the aim of assisting the user to formulate her/his query in an effective way, presenting her/him the results and recommending  ...  In this paper, we describe an architecture for charactermediated search applications.  ...  a preference for one (query-ref). • If the Dialogue Manager receives from the Recommendation Manager a request to recommend a topic, the character suggests to the user a topic that may be of interest for  ... 
doi:10.1109/hsi.2009.5091038 fatcat:cyntvwk3hrd73oy4tirphbh3xe

Interrogating the Black Box: Transparency through Information-Seeking Dialogues [article]

Andrea Aler Tubella, Andreas Theodorou, Juan Carlos Nieves
2021 arXiv   pre-print
Overall, we argue that the introduced formal dialogue framework opens many avenues both in the area of compliance checking and in the analysis of properties of opaque systems.  ...  We propose to construct an investigator agent to query a learning agent -- the suspect agent -- to investigate its adherence to a given ethical policy in the context of an information-seeking dialogue,  ...  Dialogues will be composed of moves in an ordered manner. An intitator agent will open a dialogue by setting a topic. Then, other agents will reply with arguments related to the topic.  ... 
arXiv:2102.04714v1 fatcat:6vy65vcmznejrdd3qkq6434ngy

Towards Topic-Guided Conversational Recommender System [article]

Kun Zhou, Yuanhang Zhou, Wayne Xin Zhao, Xiaoke Wang, Ji-Rong Wen
2020 arXiv   pre-print
In this paper, we contribute a new CRS dataset named TG-ReDial (Recommendation through Topic-Guided Dialog). Our dataset has two major features.  ...  First, it incorporates topic threads to enforce natural semantic transitions towards the recommendation scenario.  ...  It consists of 10,000 two-party dialogues between a seeker and a recommender in the movie domain. There are two new features in our dataset.  ... 
arXiv:2010.04125v2 fatcat:hnak5mzgwjhgdeaaytxxb5k22u

Building Dialogue Structure from Discourse Tree of a Question

Boris Galitsky, Dmitry Ilvovsky
2018 Proceedings of the 2018 EMNLP Workshop SCAI: The 2nd International Workshop on Search-Oriented Conversational AI  
We evaluate a performance of proposed algorithm in car repair domain and observe a 5 to 10% improvement for single and three-step dialogues respectively, in comparison with baseline approaches to dialogue  ...  In this section we propose a reasoningbased approach to a dialogue management for a customer support chat bot.  ...  Although topical agreement between questions and answers has been extensively addressed, a correspondence in style and suitability for the given step of a dialogue between questions and answers has not  ... 
doi:10.18653/v1/w18-5703 dblp:conf/emnlp/GalitskyI18 fatcat:zvlgycphlngk5cvxiokuylt3yy

Modeling and Utilizing User's Internal State in Movie Recommendation Dialogue [article]

Takashi Kodama, Ribeka Tanaka, Sadao Kurohashi
2020 arXiv   pre-print
In this paper, we model the UIS in dialogues, taking movie recommendation dialogues as examples, and construct a dialogue system that changes its response based on the UIS.  ...  Such an intelligent dialogue system should estimate the user's internal state (UIS) in dialogues and change its response appropriately according to the estimation result.  ...  In text-dialogues, Inaba and Takahashi (2018) estimate the interest level in 24 topics during chatting dialogues between humans.  ... 
arXiv:2012.03118v1 fatcat:4x5guyhxl5ggbcuwcec2by2usq

Applied to Mobile Multimedia Intelligent Speech System Interactive Topic Guiding Model

Hongcheng Huang, Xupeng Wang, Min Hu, Yang Tao
2019 IEEE Access  
It is an inevitable trend that multimedia intelligent voice dialogue system brings more efficient content services to users through active recommendation.  ...  The experiments show that the model proposed in this paper can effectively guide topics.  ...  The system model is shown in Figure 2 . B. PROBLEM DESCRIPTION • What kind of topic contents does the robot recommend to the user during the human-machine dialogue process?  ... 
doi:10.1109/access.2019.2959906 fatcat:rmbbeihjtnbdxongoy7xdpqotm

SalesBot: Transitioning from Chit-Chat to Task-Oriented Dialogues [article]

Ssu Chiu, Maolin Li, Yen-Ting Lin, Yun-Nung Chen
2022 arXiv   pre-print
The first one focuses on chatting with users and making them engage in the conversations, where selecting a proper topic to fit the dialogue context is essential for a successful dialogue.  ...  To achieve this goal, this paper proposes a framework to automatically generate many dialogues without human involvement, in which any powerful open-domain dialogue generation model can be easily leveraged  ...  This work was financially supported from Medi-aTek Research, Amazon AWS Machine Learning Research Awards, and the Young Scholar Fellowship Program by Ministry of Science and Technology (MOST) in Taiwan  ... 
arXiv:2204.10591v1 fatcat:fqwqqdstd5dljilq5y3ozv54su

Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation [article]

Yu Li, Baolin Peng, Yelong Shen, Yi Mao, Lars Liden, Zhou Yu, Jianfeng Gao
2021 arXiv   pre-print
Existing systems perform poorly on unseen topics due to limited topics covered in the training data.  ...  In addition, heterogeneous knowledge sources make it challenging for systems to generalize to other tasks because knowledge sources in different knowledge representations require different knowledge encoders  ...  due to limited topics covered in the train- Recommendation ing data.  ... 
arXiv:2112.07924v1 fatcat:aw6sd4ilu5fjbfagtc42g74dhe

Health dialogues between pupils and school nurses: A description of the verbal interaction

Marie Golsäter, Hans Lingfors, Birgitta Sidenvall, Karin Enskär
2012 Patient Education and Counseling  
Results:The results showed that the age appropriate topics suggested by national recommendations were brought up in most of the health dialogues.  ...  Objective:The purpose of this study was to explore and describe the content and the verbal interaction in health dialogues between pupils and school nurses.  ...  The results show that the age-appropriate topics suggested in national recommendations were brought up in most of the health dialogues.  ... 
doi:10.1016/j.pec.2012.07.012 pmid:22878025 fatcat:m276ewxwgbffpadwc4cgff76qu

Alquist: The Alexa Prize Socialbot [article]

Jan Pichl, Petr Marek, Jakub Konrád, Martin Matulík, Hoang Long Nguyen, Jan Šedivý
2018 arXiv   pre-print
The Alquist dialogue system is designed to conduct a coherent and engaging conversation on popular topics.  ...  This paper describes a new open domain dialogue system Alquist developed as part of the Alexa Prize competition for the Amazon Echo line of products.  ...  recommendation dialogue).  ... 
arXiv:1804.06705v1 fatcat:a52wzrlfhnerdbokkryibssxdi
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