conversational agents
Paving the way towards counterfactual generation in argumentative conversational agents
... Argumentative conversational agents Argumentative frameworks can be embedded di- rectly into chatbots or conversational agents to in- teract with end ...mentation, conversational ...
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Regulating Dialogue with Gestures Towards an Empirically Grounded Simulation with Conversational Agents
... Although not very well investigated, a crucial as- pect of gesture use in dialogues is to regulate the organisation of the interaction. People use gestures decisively, for example to indicate that they want someone to ...
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Open-domain neural conversational agents: The step towards artificial general intelligence
... of conversational agents which do not only rely on natural language ...only conversational agent with implemented Artificial Intelligence (AI) technologies to gain wide commercial pick ...a ...
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An Investigation on The Effectiveness of Employing Topic Modeling Techniques to Provide Topic Awareness For Conversational Agents
... automated agents to make task-oriented dialogues with the aim to provide services to human in different fields such as education, entertainment, help desks, ...ditional conversational systems are designed ...
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A Crowd based Evaluation of Abuse Response Strategies in Conversational Agents
... should conversational agents respond to verbal abuse through the user? To answer this question, we conduct a large-scale crowd- sourced evaluation of abuse response strate- gies employed by current ...
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A Methodology for Evaluating Interaction Strategies of Task Oriented Conversational Agents
... task-oriented conversational agents is usually focused on measuring their ef- fectiveness, either at the single turn level - see for example (Wen et ...as conversational agents are becoming ...
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Conversational Agents for Health and Wellbeing: Review and Future Agendas
... Advances in artificial intelligence (AI) technology have brought heightened attention to conversational agents (CAs, popularly referred to as chatbots) in industry and academia. The terms chatbots and CA ...
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Generating Challenge Datasets for Task-Oriented Conversational Agents through Self-Play
... In this paper, we explored some challenges connected to dataset creation for conversational agents and interpretability of neural models. In particular, we propose a methodology to create rich datasets for ...
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Bootstrapping Conversational Agents with Weak Supervision
... Many conversational agents in the market today follow a stan- dard bot development framework which requires training in- tent classifiers to recognize user ...build conversational agents, and ...
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Talking with conversational agents in collaborative action
... conversational agents in multi-party settings, we can examine existing CSCW work on collocated interactions with technology. For example, numerous pieces explore the everyday social practice and the ...
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MACA: A Modular Architecture for Conversational Agents
... for Conversational Agents (MACA) uses a plug-n-play style that allows quick prototyping, thereby facilitating the devel- opment of new techniques and the repro- duction of previous ...dialogue agents ...
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Conversational Agents in Distance Education: Comparing Mood States with Students’ Perception
... a Conversational Agent is that it stimulates social presence among Distance Education students, providing continuous psycho- logical and pedagogical ...virtual agents is often functionally ...a ...
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Chat Discrimination for Intelligent Conversational Agents with a Hybrid CNN LMTGRU Network
... This paper addressed the issue of discriminating conversations for combining domain-specific task- oriented agents and open-domain chit-chat agents. We developed a hybrid model consisting of a CNN and an ...
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MoL 2018 35: Examining Personality Differences in Chit Chat Sequence to Sequence Conversational Agents
... Finally, the research by Luan et al. (2017) is different with the above works. This research applies multi-task learning: it consists of a Seq2Seq task for generating re- sponses, and an Autoencoder task for learning the ...
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A Framework to support the influence of culture on nonverbal behavior generation in Embodied Conversational Agents
... Human Media Interaction (HMI) Department of Electrical Engineering, Mathematics and Computer Science University of Twente The Netherlands Information Science Institute (ISI) Viterbi, School of Enginee[.] ...
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Cross-Domain Training for Goal-Oriented Conversational Agents
... the conversational agent and that data belonging to a specific domain is difficult to annotate, there have been some attempts at surpassing these chal- lenges such as unsupervised pre-training or transfer learning ...
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Virtual Graduate School Mentoring Using Embodied Conversational Agents
... The group that used the virtual mentor started by completing the pre survey. After the survey they sat at a desktop computer that already had the website loaded with the conversational agent. The virtual mentor, ...
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A Diversity Promoting Objective Function for Neural Conversation Models
... Conversational agents are of growing importance in facilitating smooth interaction between humans and their electronic devices, yet conventional dialog sys- tems continue to face major challenges in the ...
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Deep Learning for Conversational AI
... The main purpose of this tutorial is to encourage dialogue research in the NLP community by providing the research background, a survey of available resources, and giving key insights to application of state-of-the-art ...
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ViGGO: A Video Game Corpus for Data To Text Generation in Open Domain Conversation
... and conversational agents, we present ViGGO – a smaller but more comprehen- sive dataset in the video game domain, introducing several generalizable dialogue acts (DAs), mak- ing it more suitable for ...
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