Dialogue and Conversational Agents
Regulating Dialogue with Gestures Towards an Empirically Grounded Simulation with Conversational Agents
... of agents’ contributions in dialogue such as success- fully producing current turn, establishing coher- ence across different speakers’ turns by gestural reference or indicating who will be next ...for ...
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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 ...
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MACA: A Modular Architecture for Conversational Agents
... The Posprocessing component connects the Dia- logue Model and the Output components. It al- lows the architect to choose the response in the case of multi-response retrieval, to alter responses based on linguistic ...
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Arabic Goal-oriented Conversational Agent Based on Pattern Matching and Knowledge Trees
... Abstract- Conversational Agents (CA’s) are computer agents used in applications to converse with humans using natural language ...Oriented Conversational Agents (GO-CAs) are ...
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Talking with conversational agents in collaborative action
... in dialogue is itself a co-operative effort in negotiation of meaning [4:14], but how this cooperation can be embraced between multiple users while engaging with speech-enabled technologies remains an open ...
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A Methodology for Evaluating Interaction Strategies of Task Oriented Conversational Agents
... followed different criteria taken from other re- search fields, such as machine translation (Wen et al., 2016), human-computer interaction (Allen et al., 2001), user experience and interfaces design (Skantze, 2005). The ...
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Cross-Domain Training for Goal-Oriented Conversational Agents
... database result, and belief state and returns a rep- resentation of the next system action. Finally, a generation network uses the action representation to generate a template sequence, which is filled with actual values ...
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User adaptive Coordination of Agent Communicative Behavior in Spoken Dialogue
... and conversational agents, we presented a method for user-adaptive coordination of agent communicative behavior and experimentally evaluated how it can adapt agent behavior to individual users in spoken ...
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Paving the way towards counterfactual generation in argumentative conversational agents
... argumentation-based conversational agents merges with those coming directly from the field of natural language generation (NLG) and explainable ...versational agents and dialogue systems, ...
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Chat Discrimination for Intelligent Conversational Agents with a Hybrid CNN LMTGRU Network
... novel dialogue agents have become a research ...Intelligent agents that can han- dle both domain-specific task-oriented and open-domain chit-chat dialogs are one of the major requirements in the ...
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Deep Reinforcement Learning for Dialogue Generation
... of dialogue generation offer great promise for generating responses for conversational agents, but tend to be short- sighted, predicting utterances one at a time while ignoring their influence on ...
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Bootstrapping a Neural Conversational Agent with Dialogue Self Play, Crowdsourcing and On Line Reinforcement Learning
... building conversational agents that are trained from data and on-line experience using supervised and reinforcement ...for dialogue collection does not provide sufficient coverage of salient ...
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Conversational Agents in Distance Education: Comparing Mood States with Students’ Perception
... DOI: 10.4236/ce.2018.911126 1736 Creative Education It was evinced that many users abruptly quitted the conversation, without saying goodbye to the CA or devoid of the answers they were searching for, which may be ...
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A Crowd based Evaluation of Abuse Response Strategies in Conversational Agents
... Ethical challenges related to dialogue systems and conversational agents raise novel research ques- tions, such as learning from biased data sets (Hen- derson et al., 2018), and how to handle verbal ...
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Conversational Response Re ranking Based on Event Causality and Role Factored Tensor Event Embedding
... a dialogue his- tory” (word coherency), which indicates system response coherency to dialogue ...much dialogue continuity system responses ...
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Deep Dyna Q: Integrating Planning for Task Completion Dialogue Policy Learning
... the dialogue agent, which simulates the environment and generates simulated user ...the dialogue policy learning, real user experience plays two pivotal roles: first, it can be used to im- prove the world ...
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Discriminative Deep Dyna Q: Robust Planning for Dialogue Policy Learning
... simulated dialogue is ...the dialogue fails. To make dialogue training efficient, we also applied a variant of imitation learning, called Reply Buffer Spiking (RBS) (Lipton et ...
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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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Supporting Wizard of Oz experimentation for language technology applications
... While the previous evaluation rounds were mainly focusing on running WOZ experiments and the challenges a wizard is confronted with when acting under time pressure, this final set of evaluations looks at designing an ...
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Response Generation Based on Hierarchical Semantic Structure with POMDP Re ranking for Conversational Dialogue Systems
... al. used the mixed template for constructing the declarative sentences. The declarative sentences were further converted into interrogative sen- tences by changing the word order and verb forms (Fang et al. 2006). ...
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