Dialog Management


References:

See also:

Dialog Management MiddlewareDialog Management Module | Dialog ManagerOlympus/Ravenclaw Dialog Management Framework | OwlSpeak


Integration of sound source localization and separation to improve dialogue management on a robot M Fréchette, D Létourneau, JM Valin… – Intelligent Robots and …, 2012 – ieeexplore.ieee.org Abstract—To demonstrate the influence of an artificial audition system on speech recognition and dialogue management for a robot, this paper presents a case study involving soft coupling of ManyEars, a sound source localization, tracking and separation … Cited by 10 Related articles All 8 versions

[BOOK] Statistical methods for spoken dialogue management B Thomson – 2013 – books.google.com Speech is the most natural mode of communication and yet attempts to build systems which support robust habitable conversations between a human and a machine have so far had only limited success. A key reason is that current systems treat speech input as equivalent … Cited by 39 Related articles All 7 versions

Generative goal-driven user simulation for dialog management A Eshky, B Allison, M Steedman – … of the 2012 Joint Conference on …, 2012 – dl.acm.org Abstract User simulation is frequently used to train statistical dialog managers for task- oriented domains. At present, goal-driven simulators (those that have a persistent notion of what they wish to achieve in the dialog) require some task-specific engineering, making … Cited by 3 Related articles All 10 versions

A comprehensive reinforcement learning framework for dialogue management optimization L Daubigney, M Geist… – Selected Topics in …, 2012 – ieeexplore.ieee.org Abstract—Reinforcement learning is now an acknowledged approach for optimising the interaction strategy of spoken dialogue systems. If the first considered algorithms were quite basic (like SARSA), recent works concentrated on more sophisticated methods. More … Cited by 23 Related articles All 11 versions

An inverse reinforcement learning algorithm for partially observable domains with application on healthcare dialogue management HR Chinaei, B Chaib-Draa – Machine Learning and …, 2012 – ieeexplore.ieee.org Abstract—In this paper, we propose an algorithm for learn-ing a reward model from an expert policy in partially observable Markov decision processes (POMDPs). The problem is formulated as inverse reinforcement learning (IRL) in the POMDP framework. The … Cited by 3 Related articles All 8 versions

Open Dialogue Management for Relational Databases. B Hixon, RJ Passonneau – HLT-NAACL, 2013 – aclweb.org Abstract We present open dialogue management and its application to relational databases. An open dialogue manager generates dialogue states, actions, and default strategies from the semantics of its application domain. We define three open dialogue management … Cited by 3 Related articles All 10 versions

Knowledge transfer between speakers for personalised dialogue management I Casanueva, T Hain, H Christensen, R Marxer… – 16th Annual Meeting of …, 2015 – aclweb.org Abstract Model-free reinforcement learning has been shown to be a promising data driven approach for automatic dialogue policy optimization, but a relatively large amount of dialogue interactions is needed before the system reaches reasonable performance. …

Corporate Social Performance and Stakeholder Dialogue Management JM Agudo?Valiente, C Garcés?Ayerbe… – Corporate Social …, 2015 – Wiley Online Library Abstract This study analyses how firms act with regard to social responsibility from the perspective of Stakeholder Theory. The objective is to empirically analyse the importance of communication with stakeholders for social responsibility. This involves the establishment … Cited by 3 Related articles

Adaptive Dialogue Management in the KRISTINA Project for Multicultural Health Care Applications L Pragst, S Ultes, M Kraus… – SEMDIAL 2015 goDIAL, 2015 – pubman.mpdl.mpg.de Abstract The goal of the EU-funded KRISTINA project is to help migrants in European countries get information about their resident country’s health care system by the means of a socially competent dialogue system. This system has to be able to handle a considerably …

Goal-driven approach to open-ended dialogue management using BDI agents W Wong, L Cavedon, J Thangarajah… – Proceedings of the 11th …, 2012 – dl.acm.org Abstract We describe a BDI (Belief, Desire, Intention) approach and architecture for a conversational virtual companion embodied as a child’s Toy. Our aim is to support both structured conversation-based activities (eg, story-telling, collaborative games) as well as … Related articles All 10 versions

Statistical dialogue management using intention dependency graph K Yoshino, S Watanabe, J Le Roux… – Proceedings of the 6th …, 2013 – merl.com Abstract We present a method of statistical dialogue management using a directed intention dependency graph (IDG) in a partially observable Markov decision process (POMDP) framework. The transition probabilities in this model involve information derived from a … Cited by 5 Related articles All 8 versions

Towards quality-adaptive spoken dialogue management S Ultes, A Schmitt, W Minker – … -HLT Workshop on Future Directions and …, 2012 – dl.acm.org Abstract Information about the quality of a Spoken Dialogue System (SDS) is usually used only for comparing SDSs with each other or manually improving the dialogue strategy. This information, however, provides a means for inherently improving the dialogue … Cited by 11 Related articles All 14 versions

An easy to author dialogue management system for serious games D Mori, R Berta, A De Gloria, V Fiore… – Journal on Computing …, 2013 – dl.acm.org Abstract This article describes an architecture for a dialogue management system to be employed in serious games for natural language interaction with nonplayer characters. The aim of this work is to improve the learning experience by enhancing the immersiveness … Cited by 10 Related articles

Strategic Dialogue Management via Deep Reinforcement Learning H Cuayáhuitl, S Keizer, O Lemon – arXiv preprint arXiv:1511.08099, 2015 – arxiv.org Abstract: Artificially intelligent agents equipped with strategic skills that can negotiate during their interactions with other natural or artificial agents are still underdeveloped. This paper describes a successful application of Deep Reinforcement Learning (DRL) for training …

Probabilistic multiparty dialogue management for a game master robot C Kennington, K Funakoshi, Y Takahashi… – Proceedings of the 2014 …, 2014 – dl.acm.org Abstract We present our ongoing research on multiparty dialogue management for a game master robot which engages multiple human participants to play a quiz game. The robot invites passing people to join the game, instructs participants on the rules of the game, … Cited by 1 Related articles

Metalogue: A multiperspective multimodal dialogue system with metacognitive abilities for highly adaptive and flexible dialogue management J Alexandersson, A Girenko… – Intelligent …, 2014 – ieeexplore.ieee.org Abstract—This poster paper presents a high-level description of the Metalogue project that is developing a multi-modal dialogue system that is able to implement interactive behaviors that seem natural to users and is flexible enough to exploit the full potential of multimodal … Cited by 2 Related articles All 3 versions

Adaptive speech recognition and dialogue management for users with speech disorders I Casanueva, H Christensen… – Proceedings of …, 2014 – mazsola.iit.uni-miskolc.hu Abstract Spoken control interfaces are very attractive to people with severe physical disabilities who often also have a type of speech disorder known as dysarthria. This condition is known to decrease the accuracy of automatic speech recognisers (ASRs) … Cited by 5 Related articles All 4 versions

A domain-independent statistical methodology for dialog management in spoken dialog systems D Griol, Z Callejas, R López-Cózar… – Computer Speech & …, 2014 – Elsevier Abstract This paper proposes a domain-independent statistical methodology to develop dialog managers for spoken dialog systems. Our methodology employs a data-driven classification procedure to generate abstract representations of system turns taking into … Cited by 10 Related articles All 5 versions

Towards augmenting dialogue strategy management with multimodal sub-symbolic context P Baxter, H Cuayáhuitl, R Wood… – Proceedings of the 35th …, 2012 – Citeseer … Re- cent developments have relaxed the notion of strict hierarchical organisation by positing a role for informal structure to enhance flexibility [5]. On this basis, it may be proposed that associations can be formed between the currently active dialogue management agent(s) and … Cited by 3 Related articles All 8 versions

Reward Function Learning for Dialogue Management. L El Asri, R Laroche, O Pietquin – STAIRS, 2012 – lifl.fr Abstract. This paper addresses the problem of defining, from data, a reward function in a Reinforcement Learning (RL) problem. This issue is applied to the case of Spoken Dialogue Systems (SDS), which are interfaces enabling users to interact in natural language. A new … Cited by 13 Related articles All 7 versions

Adaptive grounding and dialogue management for autonomous conversational assistants for elderly users R Yaghoubzadeh, K Pitsch, S Kopp – Intelligent Virtual Agents, 2015 – Springer Abstract People with age-related or congenital cognitive impairments require assistance in daily tasks to enable them to maintain a self-determined lifestyle in their own home. We developed and evaluated a prototype of an autonomous spoken dialogue assistant to … Cited by 2

Dialogue Management in Spoken Dialogue System with Visual Feedback W Ge, B Xu – PRICAI 2014: Trends in Artificial Intelligence, 2014 – Springer Abstract Dialogue Management (DM) is an essential issue in Spoken Dialogue Systems (SDS). Most of previous studies on DM do not consider the visual feedback from machine to user that could accelerate the dialogue process dramatically. Thus, in this paper, we firstly … Related articles

Dialogue management for leading the conversation in persuasive dialogue systems T Hiraoka, Y Yamauchi, G Neubig… – … (ASRU), 2013 IEEE …, 2013 – ieeexplore.ieee.org ABSTRACT In this research, we propose a probabilistic dialogue modeling method for persuasive dialogue systems that interact with the user based on a specific goal, and lead the user to take actions that the system intends from candidate actions satisfying the user’s … Cited by 5 Related articles All 4 versions

Attentional top-down regulation and dialogue management in human-robot interaction R Caccavale, A Finzi, L Lucignano, S Rossi… – Proceedings of the 2014 …, 2014 – dl.acm.org Abstract We propose a framework where the human-robot interaction is modeled as a multimodal dialogue which is regulated by an attentional system that guides the system towards the execution of structured tasks. We introduce a simple case study to illustrate … Related articles All 2 versions

Using Reinforcement Learning for Dialogue Management Policies: Towards Understanding MDP Violations and Convergence. PA Heeman, J Fryer, R Lunsford, A Rueckert… – …, 2012 – cslu.ohsu.edu Abstract Reinforcement learning is becoming a popular tool for building dialogue managers. This paper addresses two issues in using RL. First, we propose two methods for finding MDP violations. Both methods make use of computing Q scores when testing the policy. … Related articles All 6 versions

Users’ Belief Awareness in Reinforcement Learning-based Situated Human-Robot Dialogue Management E Ferreira, G Milliez, F Lefevre, R Alami – IWSDS, 2015 – uni-ulm.de Abstract Others can have a different perception of the world than ours. Understanding this divergence is an ability, known as perspective taking in developmental psychology, that humans exploit in daily social interactions. A recent trend in robotics aims at endowing … Cited by 1 Related articles All 3 versions

An example-based approach to ranking multiple dialog states for flexible dialog management H Noh, S Ryu, D Lee, K Lee, C Lee… – Selected Topics in …, 2012 – ieeexplore.ieee.org Abstract—This paper presents a new hybrid dialog management framework that integrates a statistical ranking algorithm into an example-based dialog management approach for chat- like dialogs. The proposed model uses ranking features that consider various aspects of … Cited by 1 Related articles All 3 versions

Towards dialogue management in relational domains P Lison – Proceedings of the SLTC Workshop on Action, …, 2012 – heim.ifi.uio.no Page 1. Towards Dialogue Management in Relational Domains Pierre Lison, Language Technology Group (LTG) … [S. Larsson and DR Traum (2000), «Information state and dialogue management in the TRINDI dialogue move engine toolkit» in Natural Language Engineering] … Cited by 1 Related articles All 8 versions

Social signal and user adaptation in reinforcement learning-based dialogue management E Ferreira, F Lefèvre – Proceedings of the 2nd Workshop on Machine …, 2013 – dl.acm.org Abstract This paper investigates the conditions under which cues from social signals can be used for user adaptation (or user tracking) of a learning agent. In this work we consider the case of the Reinforcement Learning (RL) of a dialogue management module. Social … Cited by 9 Related articles

A Probabilistic Framework for Representing Dialog Systems and Entropy-Based Dialog Management through Dynamic Stochastic State Evolution J Wu, M Li, CH Lee – arXiv preprint arXiv:1504.07182, 2015 – arxiv.org Abstract: In this paper, we present a probabilistic framework for goal-driven spoken dialog systems. A new dynamic stochastic state (DS-state) is then defined to characterize the goal set of a dialog state at different stages of the dialog process. Furthermore, an entropy … Related articles All 2 versions

TFSM-based dialogue management model framework for affective dialogue systems F Ren, Y Wang, C Quan – IEEJ Transactions on Electrical and …, 2015 – Wiley Online Library A new dialogue management model for affective dialogue system, which aims to provide a service of information inquiry and affective interaction, is proposed in this paper. First, we construct two finite state machines (TFSM) to model the user and the system, respectively, … Related articles

Statecharts and SCXML for Dialogue Management T Lager – Text, Speech, and Dialogue, 2013 – Springer Abstract The World Wide Web Consortium (W3C) has selected Harel Statecharts, under the name of State Chart XML (SCXML), as the basis for future standards in the area of (multimodal) dialog systems. In this talk, I give a brief introduction to Statecharts and to … Cited by 2 All 3 versions

Model-based bayesian reinforcement learning for dialogue management P Lison – arXiv preprint arXiv:1304.1819, 2013 – arxiv.org Abstract: Reinforcement learning methods are increasingly used to optimise dialogue policies from experience. Most current techniques are model-free: they directly estimate the utility of various actions, without explicit model of the interaction dynamics. In this paper, … Cited by 8 Related articles All 14 versions

A dialog management methodology based on evolving Fuzzy-rule-based (FRB) classifiers D Griol, JA Iglesias, A Ledezma… – Evolving and Adaptive …, 2014 – ieeexplore.ieee.org Abstract—This paper proposes a statistical methodology based on evolving Fuzzy-rule- based (FRB) classifiers to develop dialog managers for spoken dialog systems. The dialog managers developed by means of our proposal select the next system action by … Cited by 2 Related articles

User behavior fusion in dialog management with multi-modal history cues M Yang, J Tao, L Chao, H Li, D Zhang, H Che… – Multimedia Tools and …, 2014 – Springer Abstract It enhances user experience by making the talking avatar be sensitive to user behaviors in human computer interaction (HCI). In this study, we combine user’s multi-modal behaviors with behaviors’ historical information in dialog management (DM) to improve … Cited by 1 Related articles All 2 versions

Towards building intelligent speech interfaces through the use of more flexible, robust and natural dialogue management solutions F Fernández-Martínez, J Ferreiros… – Interacting with …, 2012 – iwc.oxfordjournals.org Abstract In this paper a Bayesian Networks-based solution for dialogue modelling is presented. This solution is combined with carefully designed contextual information handling strategies. With the purpose of validating these solutions, and introducing a … Cited by 2 Related articles All 10 versions

Using reinforcement learning for dialogue management policies P Heeman, J Fryer, R Lunsford… – … Conference of the …, 2012 – ohsu.pure.elsevier.com Reinforcement learning is becoming a popular tool for building dialogue managers. This paper addresses two issues in using RL. First, we propose two methods for finding MDP violations. Both methods make use of computing Q scores when testing the policy. Second …

Reward shaping for statistical optimisation of dialogue management L El Asri, R Laroche, O Pietquin – Statistical Language and Speech …, 2013 – Springer Abstract This paper investigates the impact of reward shaping on a reinforcement learning- based spoken dialogue system’s learning. A diffuse reward function gives a reward after each transition between two dialogue states. A sparse function only gives a reward at the … Cited by 6 Related articles All 12 versions

A dialogue management system using a corpus-based framework and a dynamic dialogue transition model S Kang, Y Ko, J Seo – AI Communications, 2013 – donga.ac.kr Abstract. We propose a novel practical dialogue management system that satisfies the requirements of robust dialogue management, efficient domain knowledge construction, and flexible architecture for maintenance and extensibility. The proposed system uses a … Related articles All 5 versions

A hybrid approach to dialogue management based on probabilistic rules P Lison – Computer Speech & Language, 2015 – Elsevier Abstract We present a new modelling framework for dialogue management based on the concept of probabilistic rules. Probabilistic rules are defined as structured mappings between logical conditions and probabilistic effects. They function as high-level templates … Cited by 6 Related articles All 2 versions

Advanced Language Understanding and Dialogue Management for Language Learning JF Quesada, C Nunez – Conference proceedings. ICT …, 2013 – conference.pixel-online.net Abstract The current paper introduces an innovative technological framework named Milao. Milao is the result of multidisciplinary research that brings together a variety of different fields such as Artificial Intelligence, Language Technologies, Linguistics and Language … Related articles All 2 versions

Dialogue Management based on Multi-domain Corpus W Ge, B Xu – 16th Annual Meeting of the Special Interest Group on …, 2015 – aclweb.org Abstract Dialogue Management (DM) is a key issue in Spoken Dialogue System. Most of the existing data-driven DM schemes train the dialogue policy for some specific domain (or vertical domain), only using the dialogue corpus in this domain, which might suffer from …

Interrogative Sentence Generation and Dialogue Management in Intelligent Tutoring System Z Zhang, X Shang – … on Advances in Mechanical Engineering and …, 2015 – atlantis-press.com Abstract. Intelligent tutoring is a hot field in the study of information-based teaching. This paper proposed a series of methods for building ITS in training of operational regulation domain. To make the dialog between system and users more intelligent, a frame-based … Related articles All 2 versions

A novel approach for data fusion and dialog management in user-adapted multimodal dialog systems D Griol, J Garcia-Herrero… – … Fusion (FUSION), 2014 …, 2014 – ieeexplore.ieee.org Abstract—Multimodal dialog systems have demonstrated a high potential for more flexible, usable and natural humancomputer interaction. These improvements are highly dependent on the fusion and dialog management processes, which respectively integrates and … Cited by 1 Related articles

From Spoken Language to Ontology-Driven Dialogue Management D Mouromtsev, L Kovriguina, Y Emelyanov… – Text, Speech, and …, 2015 – Springer Abstract The paper describes the architecture of the prototype of the spoken dialogue system combining deep natural language processing with an information state dialogue manager. The system assists technical support to the customers of the digital TV provider. …

A comparative study of various approaches for dialogue management M Ahmed, R Riyaz, S Afzal – Int. J. Adv. Comput. Technol, 2013 – core.ac.uk Abstract: This paper has been developed to draw a comparison between various available approaches for dialogue management. Currently there is much interest in building interactive human-computer interfaces which involve spoken input and output. Spoken … Cited by 3 Related articles All 3 versions

A task ontology model for domain independent dialogue management X Yuan, G Liu – Virtual Environments Human-Computer …, 2012 – ieeexplore.ieee.org Abstract—Dialogue systems have been a rapidly growing area in the field of human computer interaction. They can be applied in various fields, such as education, business and healthcare. Due to its complexity, the design and development of a dialogue system is … Cited by 3 Related articles All 2 versions

Naturalistic dialogue management for noisy speech recognition RJ Passonneau, SL Epstein… – Selected Topics in Signal …, 2012 – ieeexplore.ieee.org Abstract—With naturalistic dialogue management, a spoken dialogue system behaves as a human would under similar conditions. This paper reports on an experiment to develop naturalistic clarification strategies for noisy speech recognition in the context of spoken … Cited by 1 Related articles All 7 versions

Hyper-parameter Optimisation of Gaussian Process Reinforcement Learning for Statistical Dialogue Management L Chen, PH Su, M Gašic – 16th Annual Meeting of the Special Interest …, 2015 – aclweb.org Abstract Gaussian processes reinforcement learning provides an appealing framework for training the dialogue policy as it takes into account correlations of the objective function given different dialogue belief states, which can significantly speed up the learning. These …

An Approach to Integrating Emotion in Dialogue Management X Yuan – Advances in Swarm and Computational Intelligence, 2015 – Springer Abstract Presented in this paper is a method for the construction of emotion-enabled embodied (conversational) agents. By using a modified POMDP model, this method allows dialogue management not only to include emotion as part of the observation of user’s …

Design of components for understanding, dialogue management and feedback to the user R Manione, F Arisio, E Gerbino, CG FBK, MM FBK – 2012 – dirha.fbk.eu Abstract: This document describes the achievements obtained during Year 1 in the DIRHA project towards the developments of components aimed to handle and fulfil user requests expressed through spoken utterances. The Dialog Manager, the Speech Understanding, the Prompt … Related articles All 2 versions

Learning Dialog Management for a Tour Guide Robot Using Museum Visitor Simulation J Fonfara, S Hellbach, HJ Böhme – Proceedings of the Workshop- …, 2012 – researchgate.net Abstract. In this paper we address the problem of dialog system modeling for a tour guide robot whose task is to present exhibits to museum visitors. We present an approach for multimodal, dialog-directed interaction using a Markov decision process. A user simulator … Cited by 1 Related articles

Autonomous Air Traffic Control Dialog Management System to Enable Unmanned Aircraft in the National Airspace System S Gunawardana, J Alonso – … Meeting including the New Horizons Forum …, 2013 – arc.aiaa.org The US market for Unmanned Aerial Systems (UAS) is projected to double from its current size of $2.6 billion to $5.2 billion by 2020. 1 The increased use and tempo of UAS operations has been largely driven by overseas military use. However, there are many …

Expert-based reward shaping and exploration scheme for boosting policy learning of dialogue management E Ferreira, F Lefevre – Automatic Speech Recognition and …, 2013 – ieeexplore.ieee.org ABSTRACT This paper investigates the conditions under which expert knowledge can be used to accelerate the policy optimization of a learning agent. Recent works on reinforcement learning for dialogue management allowed to devise sophisticated … Cited by 2 Related articles All 2 versions

Dialogue management for user-centered adaptive dialogue S Ultes, H Dikme, W Minker – … of the 5th International Workshop On …, 2014 – researchgate.net Abstract A novel approach for introducing adaptivity to user satisfaction into dialogue management is presented in this work. In general, rendering the dialogue adaptive to user satisfaction enables the dialogue system to improve the course of the dialogue or to … Cited by 4 Related articles All 2 versions

Structured Probabilistic Modelling for Dialogue Management P Lison – 2013 – duo.uio.no This thesis presents a new modelling framework for dialogue management based on the concept of probabilistic rules. Probabilistic rules are defined as if… then… else constructions associating logical conditions on input variables to probabilistic effects over output … Cited by 5 Related articles All 5 versions

A comparative study of reinforcement learning techniques on dialogue management A Papangelis – Proceedings of the Student Research Workshop at the …, 2012 – dl.acm.org Abstract Adaptive Dialogue Systems are rapidly becoming part of our everyday lives. As they progress and adopt new technologies they become more intelligent and able to adapt better and faster to their environment. Research in this field is currently focused on how to … Cited by 5 Related articles All 9 versions

Situation-and User-Adaptive Dialogue Management G Bertrand – 2015 – vts.uni-ulm.de Abstract In the sea of human machine interaction a growing trend to personalize the interaction experience has been surfacing over the last decades. Human machine interfaces have more and more become companion systems which on the one hand collect data … Related articles All 2 versions

Towards online planning for dialogue management with rich domain knowledge P Lison – Natural Interaction with Robots, Knowbots and …, 2014 – Springer Abstract Most approaches to dialogue management have so far concentrated on offline optimisation techniques, where a dialogue policy is precomputed for all possible situations and then plugged into the dialogue system. This development strategy has however some … Cited by 1 Related articles All 11 versions

An Approach for Contextual Control in Dialogue Management with Belief State Trend Analysis and Prediction R Dhanapal – 2012 – scholar.uwindsor.ca Abstract This thesis applies the theory of naturalistic decision making (NDM) in human physcology model for the study of dialogue management system in major approaches from the classical approach based upon finite state machine to most recent approach using … Cited by 1 Related articles

Novel Approach to Spoken Dialogue Management in Intelligent Environments T Heinroth, W Minker – Introducing Spoken Dialogue Systems into …, 2013 – Springer Abstract Intelligent Environments consist of various entities and in parallel provide and execute different tasks. Since neither the sets of entities nor the tasks may remain constant while the user interacts with the system, we speak of a changing nature of such … Related articles

On the use of social signal for reward shaping in reinforcement learning for dialogue management E Ferreira, F Avignon, F Lefevre – SemDial, 2013 – illc.uva.nl Abstract This paper investigates the conditions under which social signals (facial expressions, postures, gazes, etc.), especially non-verbal multimodal user appraisal, can help to accelerate the learning capacity of a Reinforcement Learning (RL) agent in the … Cited by 1 Related articles

Changing concepts of machine dialogue management M Gnjatovic – … (CogInfoCom), 2014 5th IEEE Conference on, 2014 – ieeexplore.ieee.org Abstract—An important research question in machine dialogue management is how to go beyond hand-crafted approaches. Currently, statistical approaches are prevalent. However, recently, researchers have focused again on the representational capacities of the human … Related articles

The evaluation of spoken dialog management models for multimodal HCIs. R Maskeliunas – Int. Arab J. Inf. Technol., 2014 – ccis2k.org Abstract: The implementation of voice dialogs enables the realization of some of the aims of modern Human Computer Interaction (HCI) services more successfully and efficiently. Sadly the multimodal Lithuanian HCIs carried by the most natural form of communication-speech … Related articles All 4 versions

Finite-to-Infinite N-Best POMDP for Spoken Dialogue Management G Wu, C Yuan, B Leng, X Wang – … Based on Naturally Annotated Big Data, 2015 – Springer Abstract Partially Observable Markov Decision Process (POMDP) has been widely used as dialogue management in slot-filling Spoken Dialogue System (SDS). But there are still lots of open problems. The contribution of this paper lies in two aspects. Firstly, the observation …

User-Centred Spoken Dialogue Management F Nothdurft, S Ultes, W Minker – Next Generation Intelligent Environments, 2016 – Springer Abstract Adaptivity of intelligent environments to their surroundings provided by the ATRACO Spoken Dialogue Manager is only one means of adaptation. Recent work in Spoken Dialogue Systems focuses on the integration of user-centred adaptation means to …

Coupled Pragmatic and Semantic Automata in Spoken Dialogue Management J Bachan – Text, Speech and Dialogue, 2012 – Springer Abstract Dialogue managers are often based explicitly on finite state automata, but the present approach couples this type of dialogue manager with a semantic model (a city map) whose traversal is also formalised with a finite state automaton. The two automata are … Related articles All 5 versions

Statistical dialog management for health interventions U Yasavur – 2014 – digitalcommons.fiu.edu Abstract Research endeavors on spoken dialogue systems in the 1990s and 2000s have led to the deployment of commercial spoken dialogue systems (SDS) in microdomains such as customer service automation, reservation/booking and question answering systems. … Related articles All 4 versions

A pattern language for dialogue management D Schnelle-Walka, S Radomski – Proceeding of VikingPLoP, 2012 – researchgate.net Abstract Modeling human computer interactions as dialog, while originating in voice user interfaces, is becoming increasingly important for multimodal systems. Different approaches with regard to formalizing and managing dialogues exist with their specific strength and … Cited by 2 Related articles All 3 versions

Indonesian dialogue management system using information state for independent closed domain MC Wijanto, A Purwarianti – Computational Intelligence and …, 2013 – ieeexplore.ieee.org Abstract—In order to make the development process of a closed domain dialogue system become easier and faster, we proposed an easily independent closed domain dialogue system by using information state approach. To handle the adaptability of domain, we … Cited by 1 Related articles All 2 versions

Interruptible Autonomy: Towards Dialog-Based Robot Task Management Y Sun, B Coltin, M Veloso – Workshops at the Twenty-Seventh AAAI …, 2013 – brian.coltin.org … With recent advances in speech recognition techniques, a variety of dialog management approaches have been pro- posed for service robots to interact and receive commands from human users via speech (Zobel et al. 2001; Jayawar- dena et al. 2010). … Cited by 5 Related articles All 7 versions

Probabilistic Dialog Management D Schnelle-Walka, S Radomski… – Proceedings of …, 2013 – atlas.tk.informatik.tu-darmstadt.de Abstract Modeling user interfaces as dialogs provides a conceptual framework to address global coherence and efficiency of interactions. While non-probabilistic approaches provide convincing results and transparent dialog behavior, probabilistic techniques can help to … Cited by 1 Related articles All 4 versions

Module for Dialog Management in the Interaction System Between User and Mobile Robotic Guide IM Kobozeva, AV Zimmerling – Trudy SPIIRAN, 2014 – mathnet.ru Abstract: The paper presents dialogue management module for a mobile robot as a guide. The model of the dialog management is presented as a network of transitions between states depending on two factors: visual and communicative. Details of the dialogue … Cited by 1 Related articles

A task ontology model for domain independent dialogue management G Liu – 2012 – scholar.uwindsor.ca Abstract Dialogue systems have been a rapidly growing area in both scientific research and commercial application since 1990s. They can be applied in various fields, such as business, healthcare and education, etc. Due to its complexity, the design and …

Exploration of Fake Dialogue Phenomenon in School Management C Guo-min – Jiangsu Education Research, 2012 – en.cnki.com.cn School dialogue management is new over traditional management,while in practice fake dialogues still exist on a daily basis,which are caused by some blocking factors as follows:existence of speech hegemony,effect of thinking hypothesis,improper treatment of subjectivity … Cited by 1 Related articles

Towards Dialogue Strategies for Cognitive Workload Management J Villing – 2015 – gupea.ub.gu.se Page 1. Towards Dialogue Strategies for Cognitive Workload Management Jessica Villing The Graduate School of Language Technology Page 2. Towards Dialogue Strategies for Cognitive Workload Management Page 3. Towards Dialogue Strategies for Cognitive Workload …

Dialogue management and automation in interaction with unmanned systems A van Drunen – Proceedings of the 2nd International Conference on …, 2012 – dl.acm.org Abstract As systems get more autonomous and automated, they still should give adequate level of information and adapt their style of communication to the human user. This research aims on designing a dialogue management system that should guide the interaction … Cited by 2 Related articles All 2 versions

Towards a Persuasive Dialog System Supporting Personal Health Management V Götzmann – 2015 – isl.anthropomatik.kit.edu … 9 3. Introduction to the Health Assistant System 11 3.1. Application Scenario . . . . . 11 3.2. Applied Dialog Management Principles . . . . . 12 3.3. Usage Environment . . . . . …

Social dialogue management among the social partners on employment matters AK Papagregoriou – 2013 – okeanis.lib.teipir.gr The subject of the present study is the Social Dialogue Management among Social Partners on Employment Matters. Social dialogue is defined to include all types of negotiation, consultation or simply exchange of information between social partners on issues of …