Dialog Management Frameworks

Notes:

A dialog management framework is a system or set of tools that are used to design, develop, and maintain dialog systems. Dialog systems are computer programs that enable human users to communicate with a system through natural language, either through written text or spoken conversation.

Dialog management frameworks typically include the following components:

Language understanding: This component is responsible for interpreting the user’s input and extracting the relevant information or intent.
State tracking: This component maintains a record of the current state of the dialog, including the user’s inputs and the system’s responses.
Dialog planning: This component determines the appropriate response or action based on the current state of the dialog and the user’s input.
Output generation: This component is responsible for generating the system’s response, which may be in the form of text, speech, or other types of output.

Resources:

opendialog.org .. open source spoken dialogue system
wiki.speech.cs.cmu.edu/olympus .. framework for implementing spoken dialog systems

References:

A hybrid approach to dialogue management based on probabilistic rules
P Lison – Computer Speech & Language, 2015 – Elsevier
Skip to main content …

Users’ belief awareness in reinforcement learning-based situated human–robot dialogue management
E Ferreira, G Milliez, F Lefevre, R Alami – Natural Language Dialog …, 2015 – Springer
… The goal then is to enable them to naturally and efficiently plan tasks and communicate about them. In this paper we address this challenge extending a state-of-the-art goal-oriented dialogue management framework, the Hidden Information State (HIS) …

Towards end-to-end learning for dialog state tracking and management using deep reinforcement learning
T Zhao, M Eskenazi – arXiv preprint arXiv:1606.02560, 2016 – arxiv.org
… Page 4. Figure 2: An overview of the proposed end-to-end task-oriented dialog management framework. success labels with state tracking labels. 4.2 Learning from the Users and Databases Figure 2 shows an overview of the framework …

Reinforest: Multi-domain dialogue management using hierarchical policies and knowledge ontology
T Zhao – 2016 – pdfs.semanticscholar.org
… Tiancheng Zhao Language Technologies Institute Carnegie Mellon University April 4, 2016 1 Introduction This report describes a dialog management framework that is designed to efficiently create multi-domain, mixed-initiative dialog system …

Adaptive grounding and dialogue management for autonomous conversational assistants for elderly users
R Yaghoubzadeh, K Pitsch, S Kopp – International Conference on …, 2015 – Springer
… After highlighting existing work in our field and the foundations from our previous work, we will describe our dialogue management framework flexdiam designed with these requirements in mind, and results of an initial evaluation of the autonomous system with older adults …

flexdiam–flexible dialogue management for problem-aware, incremental spoken interaction for all user groups (Demo paper)
R Yaghoubzadeh, S Kopp – … of the 7th Workshop on Speech …, 2016 – pub.uni-bielefeld.de
… The dialogue management framework flexdiam was de- signed to afford people across a wide spectrum of cognitive ca- pabilities access to a spoken-dialogue controlled assistive sys- tem, aiming for a conversational speech style combined with incremental feedback and …

User-aware dialogue management policies over attributed bi-automata
M Serras, MI Torres, A del Pozo – Pattern Analysis and Applications, 2018 – Springer
… user uncertainty is still challenging. In this paper, the theoretical A-PFSBA dialogue management framework is augmented by formally defining the notation of exploitation policies over its structure. Under such definition, multiple …

Rasa: Open source language understanding and dialogue management
T Bocklisch, J Faulker, N Pawlowski… – arXiv preprint arXiv …, 2017 – arxiv.org
… References [1] D. Bohus and AI Rudnicky. The ravenclaw dialog management framework: Architecture and systems. Comput. Speech Lang., 23(3):332–361, July 2009. [2] A. Bordes and J. Weston. Learning end-to-end goal-oriented dialog. CoRR, abs/1605.07683, 2016 …

Separating representation, reasoning, and implementation for interaction management
ME Foster, RPA Petrick – Proceedings of the Seventh …, 2016 – research.ed.ac.uk
… management 3 References 1. Asher N, Lascarides A (2003) Logics of Conversation. Cambridge University Press 2. Bohus D, Rudnicky AI (2009) The RavenClaw dialog management framework: Architecture and systems. Computer …

Pydial: A multi-domain statistical dialogue system toolkit
S Ultes, LMR Barahona, PH Su, D Vandyke… – Proceedings of ACL …, 2017 – aclweb.org
… 77 Page 6. References Dan Bohus and Alexander I Rudnicky. 2009. The ravenclaw dialog management framework: Archi- tecture and systems. Computer Speech & Language 23(3):332–361. R De Mori, F Bechet, D Hakkani-Tur, M McTear, G Riccardi, and G Tur. 2008 …

Towards Learning Transferable Conversational Skills using Multi-dimensional Dialogue Modelling
S Keizer, V Rieser – arXiv preprint arXiv:1804.00146, 2018 – arxiv.org
… We present our multi-dimensional, statistical dialogue management framework, in which trans- ferable conversational skills can be learnt by separating out domain-independent di- mensions of communication and using multi-agent reinforcement learning …

Platon: Dialog Management and Rapid Prototyping for Multilingual Multi-user Dialog Systems
M Gropp, A Schmidt, T Kleinbauer, D Klakow – … Conference on Text …, 2016 – Springer
… Acknowledgments. The research presented in this paper has been funded by the Eureka project number E!7152. https://www.lsv.uni-saarland.de/index.php?id=71. References. 1. Bohus, D., Rudnicky, AI: The RavenClaw dialog management framework: architecture and systems …

Decision making strategies for finite-state bi-automaton in dialog management
F Ghigi, MI Torres – Natural Language Dialog Systems and Intelligent …, 2015 – Springer
… References. Bohus D, Rudnicky AI (2009) The Ravenclaw dialog management framework: architecture and systems. Comput Speech Lang 23:332–361CrossRefGoogle Scholar. Churcher GE, Atwell ES, Souter C (1997) Dialogue management systems: a survey and overview …

PizzaPal: Conversational Pizza Ordering using a High-Density Conversational AI Platform
A Raux, Y Ma, P Yang, F Wong – … of the 2018 Conference on Empirical …, 2018 – aclweb.org
… 2015. TensorFlow: Large-scale machine learning on heterogeneous sys- tems. Dan Bohus and Alexander I. Rudnicky. 2009. The ravenclaw dialog management framework: Ar- chitecture and systems. Comput. Speech Lang., 23(3):332–361. François Chollet et al. 2015. Keras …

Stochastic language generation in dialogue using recurrent neural networks with convolutional sentence reranking
TH Wen, M Gasic, D Kim, N Mrksic, PH Su… – arXiv preprint arXiv …, 2015 – arxiv.org
… Conference. Dan Bohus and Alexander I. Rudnicky. 2009. The ravenclaw dialog management framework: Archi- tecture and systems. Computer Speech and Lan- guage, 23(3):332–361, July. Adam Cheyer and Didier Guzzoni. 2007 …

SimpleDS: A Simple Deep Reinforcement Learning Dialogue System
H Cuayáhuitl – Dialogues with Social Robots, 2017 – Springer
… Motivated by the advantages of DRL methods over traditional RL methods, in this article we present a core domain-independent dialogue management framework, recently applied to strategic board games [3]. This article makes use of raw noisy text—without any engineered …

Reinforcement-learning based dialogue system for human–robot interactions with socially-inspired rewards
E Ferreira, F Lefevre – Computer Speech & Language, 2015 – Elsevier
… Experiments carried out using a state-of-the-art goal-oriented dialogue management framework, the Hidden Information State (HIS), support our claims in two configurations: firstly, with a user simulator in the tourist information domain (and thus simulated appraisals), and …

A Multimodal Dialogue System for Air Traffic Control Trainees Based on Discrete-Event Simulation.
L Smídl, A Chýlek, J Svec – INTERSPEECH, 2016 – isca-speech.org
… air traffic control officer trainees (ATCO). It was developed using our discrete-event simulation dialogue management framework with cloud-based speech recognition and text-to-speech systems. Our system mimics pilots in …

Online Learning of Attributed Bi-Automata for Dialogue Management in Spoken Dialogue Systems
M Serras, MI Torres, A Del Pozo – Iberian Conference on Pattern …, 2017 – Springer
… References. 1. Gorin, AL, Riccardi, G., Wright, JH: How may i help you? Speech Commun. 23(1–2), 113–127 (1997)CrossRefMATHGoogle Scholar. 2. Bohus, D., Rudnicky, AI: The RavenClaw dialog management framework: architecture and systems. Comput. Speech Lang …

Leveraging commonsense reasoning and multimodal perception for robot spoken dialog systems
D Lu, S Zhang, P Stone, X Chen – Intelligent Robots and …, 2017 – ieeexplore.ieee.org
… time. IV. IMPLEMENTATION Our MDM dialog management framework has been imple- mented on a mobile robot that serves as a tour guide in the Museum of USTC (University of Science and Technology of China). The museum …

Generative encoder-decoder models for task-oriented spoken dialog systems with chatting capability
T Zhao, A Lu, K Lee, M Eskenazi – arXiv preprint arXiv:1706.08476, 2017 – arxiv.org
Page 1. Generative Encoder-Decoder Models for Task-Oriented Spoken Dialog Systems with Chatting Capability Tiancheng Zhao, Allen Lu, Kyusong Lee and Maxine Eskenazi Language Technologies Institute Carnegie Mellon …

An Efficient Framework for Development of Task-Oriented Dialog Systems in a Smart Home Environment
Y Park, S Kang, J Seo – Sensors, 2018 – mdpi.com
In recent times, with the increasing interest in conversational agents for smart homes, task-oriented dialog systems are being actively researched. However, most of these studies are focused on the individual modules of such a system, and there is an evident lack of research on a …

Enabling robust and fluid spoken dialogue with cognitively impaired users
R Yaghoubzadeh, S Kopp – Proceedings of the 18th Annual SIGdial …, 2017 – aclweb.org
Page 1. Proceedings of the SIGDIAL 2017 Conference, pages 273–283, Saarbrücken, Germany, 15-17 August 2017. cO2017 Association for Computational Linguistics Enabling robust and fluid spoken dialogue with cognitively impaired users …

Towards Scalable Information-Seeking Multi-Domain Dialogue
A Papangelis, M Kotti… – 2018 IEEE International …, 2018 – ieeexplore.ieee.org
… concerns single-domain dialogues. 2. SUB-DOMAIN IDENTIFICATION (SDI) We here briefly present the problem we are trying to address, within the statistical dialogue management framework. A POMDP DM typically receives …

Dialogue management based on sentence clustering
W Ge, B Xu – Proceedings of the 53rd Annual Meeting of the …, 2015 – aclweb.org
… (No. 2013CB329302) 804 Page 6. References Dan Bohus, Alexander, I. Rudnicky. 2009. The Raven- Claw dialog management framework: Architecture and systems Computer Speech and Language, vol. 23, pages: 332-361, 2009. Emmanuel Ferreira, Fabrice Lefvre. 2013 …

A Multi-lingual evaluation of the vAssist spoken dialog system. Comparing Disco and RavenClaw
JM Olaso, P Milhorat, J Himmelsbach, J Boudy… – Dialogues with Social …, 2017 – Springer
… In: Proceedings of the Workshop on Bridging the Gap: Academic and Industrial Research in Dialog Technologies, pp. 32–39 (2007)Google Scholar. 3. Bohus, D., Rudnicky, AI: The RavenClaw dialog management framework: architecture and systems. Comput. Speech Lang …

ChaD: Chat-Oriented Dialog Systems
AI Rudnicky – Advanced Social Interaction with Agents, 2019 – Springer
… In: Proceedings of the ACL 2012 system demonstrations, pp 37–42. Association for Computational LinguisticsGoogle Scholar. 3. Bohus D, Rudnicky AI (2009) The RavenClaw dialog management framework: architecture and systems …

Component pluggable dialogue framework and its application to social robots
R Jiang, YK Tan, DK Limbu, TA Dung, H Li – Natural Interaction with …, 2014 – Springer
… Many spoken-dialogue systems were developed on top of Galaxy II communicator, for instance, Olympus dialogue system (with its own dialogue management framework) [5] and AT&T spoken-dialogue system [6]. Galaxy II-based systems treat every component as a separate …

Spoken dialog system framework supporting multiple concurrent sessions
M Qasim, S Hussain, T Habib… – … and Standardization of …, 2016 – ieeexplore.ieee.org
… Interactive Communications, 2004. [13] D. Bohus and AI Rudnicky, “The RavenClaw dialog management framework: architecture and systems,” Computer Speech and Language, vol. 23, no. 3, pp. 332-361, July 2009. [14] V …

Cogent: A Generic Dialogue System Shell Based on a Collaborative Problem Solving Model
L Galescu, CM Teng, J Allen, I Perera – Proceedings of the 19th Annual …, 2018 – aclweb.org
Page 1. Proceedings of the SIGDIAL 2018 Conference, pages 400–409, Melbourne, Australia, 12-14 July 2018. c 2018 Association for Computational Linguistics 400 Cogent: A Generic Dialogue System Shell Based on a Collaborative Problem Solving Model …

Separating representation, reasoning, and implementation for interaction management: Lessons from automated planning
ME Foster, RPA Petrick – Dialogues with Social Robots, 2017 – Springer
… In: Proceedings of goDIAL, Gothenburg, Sweden (2015)Google Scholar. 18. Bohus, D., Rudnicky, AI: The RavenClaw dialog management framework: architecture and systems. Comput. Speech Lang. 23(3), 332–361 (2009)CrossRefGoogle Scholar. 19 …

Constrained markov bayesian polynomial for efficient dialogue state tracking
K Yu, K Sun, L Chen, S Zhu – IEEE/ACM Transactions on Audio …, 2015 – ieeexplore.ieee.org
… The dialog state tracking challenge (DSTC) provides the first common testbed in a standard format, along with a suite of evaluation metrics for this purpose [5]. Since the DST problem is raised out of the statistical dialogue management framework, data-driven statistical …

Attention with intention for a neural network conversation model
K Yao, G Zweig, B Peng – arXiv preprint arXiv:1510.08565, 2015 – arxiv.org
… Speech Communication, 50(5), 2008. [3] D. Bohus and AI Rudnicky. The ravenclaw dialog management framework: architecture and systems. Computer, Speech and Language, 23:332–361, 2009. [4] W. Chan, N. Jaitly, QV Le, and O. Vinyals. Listen, attend and spell …

Semantically Annotated 3D Material Supporting the Design of Natural User Interfaces for Architectural Heritage
V Cera, A Origlia, F Cutugno, M Campi – … of the 2018 AVI-CH Workshop …, 2018 – ceur-ws.org
… Neo4J [9] is an open source graph database manager that has been applied to a high number of tasks related to data representa- tion (eg [2]). Opendial [3] is a dialogue management framework based on probabilistic rules aiming at merging the best of rule-based and …

A two-stage combining classifier model for the development of adaptive dialog systems
D Griol, JA Iglesias, A Ledezma… – International journal of …, 2016 – World Scientific
Page 1. International Journal of Neural Systems, Vol. 26, No. 1 (2016) 1650002 (21 pages) c© World Scientific Publishing Company DOI: 10.1142/S0129065716500027 A Two-Stage Combining Classifier Model for the Development of Adaptive Dialog Systems …

Recurrent Polynomial Network for Dialogue State Tracking with Mismatched Semantic Parsers
Q Xie, K Sun, S Zhu, L Chen, K Yu – … of the 16th Annual Meeting of the …, 2015 – aclweb.org
… together. In recent years, to ad- vance the research of statistical dialogue manage- ment, the DST problem is raised out of the sta- tistical dialogue management framework so that a bunch of models can be investigated for DST …

Smart Entertainment-A Critiquing Based Dialog System for Eliciting User Preferences and Making Recommendations
RR Ramnani, S Sengupta, TR Ravilla… – … on Applications of Natural …, 2018 – Springer
… IEEE Trans. Cybern. 45, 8 (2015)Google Scholar. 11. Bohus, D., Rudnicky, AI: The RavenClaw dialog management framework: architecture and systems. Comput. Speech Lang. 23(3), 332–361 (2009)CrossRefGoogle Scholar. 12 …

On the Granularity of Dialog Strategies: Insights from Large-scale Analyses of Two Commercial Travel Information Spoken Dialog Systems
Z Jiao, Z Wang, G Wang, H Tian, H Wu… – AAAI 2015 Spring …, 2015 – researchgate.net
… 2014CB340505). ZW is supported in part by a SICSA PECE grant. References Bohus, D., and Rudnicky, AI 2009. The RavenClaw dialog management framework: Architecture and systems. Comp. Speech Lang. 23(3):332–361 …

Socially cooperative behavior for artificial companions for elderly and cognitively impaired people
R Yaghoubzadeh, H Buschmeier… – Proceedings of the 1st …, 2015 – pub.uni-bielefeld.de
… respectively. These results informed the development of an incremental dialogue management framework and an autonomous spoken dialogue system in the same domain, which has been evaluated with initial participants (Fig …

First time encounters with Roberta: a humanoid assistant for conversational autobiography creation
M Lee, S Schlogl, S Montenegro, A López… – eNTERFACE’16, July …, 2017 – researchgate.net
… We accomplished this through (1) an adaptable dialog system with topic management and multi-modal functionalities (specifically face recognition), by extending a RavenClaw-type dialog management framework, (2) using the Wizard of Oz (WOZ) data collection technique for …

Recurrent polynomial network for dialogue state tracking
K Sun, Q Xie, K Yu – arXiv preprint arXiv:1507.03934, 2015 – arxiv.org
… In recent years, to advance the re- search of statistical dialogue management, the DST problem is raised out of the statistical dialogue management framework so that a bunch of models can be investigated for DST. User Text-to-speech Synthesis Natural Language Generation …

An End User Development Approach for Failure Handling in Goal-oriented Conversational Agents
TJJ Li, I Labutov, BA Myers, A Azaria… – … in Conversational UX …, 2018 – azariaa.com
Page 1. An End User Development Approach for Failure Handling in Goal-oriented Conversational Agents Toby Jia-Jun Li, Igor Labutov, Brad A. Myers, Amos Azaria, Alexander I. Rudnicky and Tom M. Mitchell Abstract This …

Small talk improves user impressions of interview dialogue systems
T Kobori, M Nakano, T Nakamura – … of the 17th Annual Meeting of the …, 2016 – aclweb.org
Page 1. Proceedings of the SIGDIAL 2016 Conference, pages 370–380, Los Angeles, USA, 13-15 September 2016. cO2016 Association for Computational Linguistics Small Talk Improves User Impressions of Interview Dialogue Systems …

Utilizing human-to-human conversation examples for a multi domain chat-oriented dialog system
L Nio, S Sakti, G Neubig, T Toda… – … on Information and …, 2014 – search.ieice.org
… system-output dialog- pairs. We also propose a simple, but effective way to perform system combination of example-based and SMT-based techniques into one dialog management framework. Experimental results demonstrate …

Turn-Taking in Commander-Robot Navigator Dialog
T Cassidy, C Voss, D Summers-Stay – Proc. of AAAI Spring Symposium on …, 2015 – aaai.org
… The paper concludes with a brief overview of ongoing work to implement these decision phases within an open-source dialog management framework, constructing a task tree specification and dialog control logic for our appli- cation domain …

Design of Spoken Tutoring System for Shipboard Damage Controlling
ZX Zhang, XW Shang – … on Network and Information Systems for …, 2015 – computer.org
… CONCLUSION AND FUTURE WORKS We presented a dialogue management framework to support intelligent tutoring which provides means for learners to interact with the system through system-initiative, tutorial dialogue, and learn and practice skills about how to perform a …

Dialogue Systems Using Web-based Language Tools
A Niklasson – 2017 – diva-portal.org
… 4.4 RavenClaw Rudnicky et al. [22] have developed a framework RavenClaw, which is a plan-based and task-independent dialog management framework. One of the key features of RavenClaw is the separation of the task specification and the conversational strate- gies …

Towards online planning for dialogue management with rich domain knowledge
P Lison – Natural Interaction with Robots, Knowbots and …, 2014 – Springer
… 11.2 Background. 11.2.1 Dialogue State. Virtually all dialogue management frameworks rely on the notion of a dialogue state, which can take various forms, depending on the chosen level of expressivity and account of uncertainty …

Dialog Management using Active Learning Algorithms
PBJ Jie – 2016 – scholarbank.nus.sg
… itself handle more of the burden. 2.1 Hierarchical Structure One such attempt is the RavenClaw dialog management framework [Bohus, D., & Rudnicky, AI (2003)]. The RavenClaw framework is a successor to the Agenda [Xu …

Developing a Corporate Chatbot for a Customer Engagement Program: A Roadmap
F Castro, P Tedesco, H Alves, JP Quintino… – … on Intelligent Computing, 2018 – Springer
… In 2017, the company announced Project discontinuation. ChatScript 13 is a NLP and dialog management framework, used both in chatbot development and in Language processing services. It is an open source application based on rule matching …

On the Granularity of Dialog Strategies: Insights from Large-scale Analyses of Two Commercial Travel Information Spoken Dial….
Z Wang – 2015 – research.baidu.com
… 2014CB340505). ZW is supported in part by a SICSA PECE grant. References Bohus, D., and Rudnicky, AI 2009. The RavenClaw dialog management framework: Architecture and systems. Comp. Speech Lang. 23(3):332–361 …

Flexible, Rapid Authoring of Goal-Orientated, Multi-Turn Dialogues Using the Task Completion Platform.
A Marin, PA Crook, OZ Khan, V Radostev… – …, 2016 – isca-speech.org
… NAACL, 2016. [2] D. Bohus and A. Rudnicky, “The RavenClaw dialog management framework: Architecture and systems,” Computer Speech and Lan- guage, 2009. [3] VoiceXML. (2000) VoiceXML version 1.0. https://www.w3.org/TR/voicexml/. 1572

An incremental turn-taking model with active system barge-in for spoken dialog systems
T Zhao, AW Black, M Eskenazi – Proceedings of the 16th Annual Meeting …, 2015 – aclweb.org
Page 1. Proceedings of the SIGDIAL 2015 Conference, pages 42–50, Prague, Czech Republic, 2-4 September 2015. cO2015 Association for Computational Linguistics An Incremental Turn-Taking Model with Active System Barge-in for Spoken Dialog Systems …

From rule-based to data-driven lexical entrainment models in spoken dialog systems
J Lopes, M Eskenazi, I Trancoso – Computer Speech & Language, 2015 – Elsevier
Skip to main content …

Policy learning for domain selection in an extensible multi-domain spoken dialogue system
Z Wang, H Chen, G Wang, H Tian, H Wu… – Proceedings of the 2014 …, 2014 – aclweb.org
Page 1. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 57–67, October 25-29, 2014, Doha, Qatar. cO2014 Association for Computational Linguistics Policy Learning …

Building Task-Oriented Dialogue Systems for Online Shopping.
Z Yan, N Duan, P Chen, M Zhou, J Zhou, Z Li – AAAI, 2017 – aaai.org
Page 1. Building Task-Oriented Dialogue Systems for Online Shopping Zhao Yan §? , Nan Duan ‡ , Peng Chen , Ming Zhou ‡ , Jianshe Zhou ¶ and Zhoujun Li §† § State Key Lab of Software Development Environment, Beihang …

Matrix factorization with knowledge graph propagation for unsupervised spoken language understanding
YN Chen, WY Wang, A Gershman… – Proceedings of the 53rd …, 2015 – aclweb.org
Page 1. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, pages 483–494, Beijing, China, July 26-31, 2015. cO2015 Association for Computational Linguistics …

A tool for staging mixed-initiative dialogs
JW Buck, S Perugini – 2016 – ecommons.udayton.edu
… International Speech Communication Association. Bohus, D., and Rudnicky, A. 2009. The ravenclaw dialog management framework: Architecture and systems. Com- puter Speech and Language 23(3):332–361. DeVault, D.; Leuski, A.; and Sagae, K. 2011 …

A dialogue-based software architecture for gamified discrimination tests
A Origlia, P Cosi, A Rodà… – on CEUR in …, 2017 – pdfs.semanticscholar.org
… have already been investigated. OPENDIAL Opendial [13] is a dialogue management framework based on probabilistic rules aiming at merging the best of rule-based and probabilistic dialogue management. In cases where a …

Now all together: overview of virtual health assistants emulating face-to-face health interview experience
C Lisetti, R Amini, U Yasavur – KI-Künstliche Intelligenz, 2015 – Springer
… health behavior change interventions. Patient Educ Couns 59:21–30CrossRefGoogle Scholar. 7. Bohus D, Rudnicky AI (2009) The ravenclaw dialog management framework: architecture and systems. Comput Speech Lang 23 …

Ask No More: Deciding when to guess in referential visual dialogue
R Shekhar, T Baumgartner, A Venkatesh… – arXiv preprint arXiv …, 2018 – arxiv.org
… References Dan Bohus and Alexander I Rudnicky. 2009. The ravenclaw dialog management framework: Architecture and systems. Computer Speech & Language, 23(3):332–361. Okko Buß, Timo Baumann, and David Schlangen. 2010 …

Knowledge-Guided Interpretation and Generation of Task-Oriented Dialogue
A Gabaldon, P Langley, B Meadows… – Situated Dialog in Speech …, 2016 – Springer
… here. References. 1. Austin JL (1962) How to do things with words. Harvard University Press, CambridgeGoogle Scholar. 2. Bohus D, Rudnicky A (2009) The RavenClaw dialog management framework: architecture and systems …

Teaching Agents When They Fail: End User Development in Goal-Oriented Conversational Agents
TJJ Li, I Labutov, BA Myers, A Azaria… – … in Conversational UX …, 2018 – Springer
… systems. In: IEEE workshop on automatic speech recognition and understanding, pp 272–277Google Scholar. Bohus D, Rudnicky AI (2005b) Error handling in the RavenClaw dialog management framework. In: Proceedings …

Lifeline dialogues with roberta
A López, A Ratni, TN Trong, JM Olaso… – … Workshop on Future …, 2016 – Springer
… The current system includes a flexible spoken dialogue system that extends the initial Ravenclaw dialogue management framework with topic management and multimodal capabilities. Roberta’s LifeLine module is, however, still work-in-progress …

The Communicative Activity of Making Suggestions as an Interactional Process: Towards a Dialog Model for HAI
C Opfermann, K Pitsch, R Yaghoubzadeh… – Proceedings of the 5th …, 2017 – dl.acm.org
Page 1. The Communicative Activity of ‘Making Suggestions’ as an Interactional Process: Towards a Dialog Model for HAI Christiane Opfermann and Karola Pitsch University of Duisburg-Essen Essen, Germany christiane.opfermann@uni-due.de karola.pitsch@uni-due.de …

A user-centric design of service robots speech interface for the elderly
N Wang, F Broz, A Di Nuovo, T Belpaeme… – Recent Advances in …, 2016 – Springer
… experiences of older users. User Experience Mag. 8(1), 18–19 (2009)Google Scholar. 5. Bohus, D., Rudnicky, A.: The ravenclaw dialog management framework: architecture and systems. Comput. Speech Lang. 23(3), 332–361 …

Event-based dialogue manager for multimodal systems
S Ondáš, J Juhár – Emergent Trends in Robotics and Intelligent Systems, 2015 – Springer
… City, Utah, vol. 1, pp. 617–620 (2001) 12. Bohus, D., Rudnicky, AI: The RavenClaw dialog management framework: Architecture and systems. Computer Speech and Language 23(3), 332–361 (2009) 13. Nestorovic, T.: General …

Arabic Dialogue System for Hotel Reservation based on Natural Language Processing Techniques
A Moubaiddin, O Shalbak, B Hammo… – Computación y …, 2015 – scielo.org.mx
Page 1. Arabic Dialogue System for Hotel Reservation based on Natural Language Processing Techniques Asma Moubaiddin1, Ola Shalbak2, Bassam Hammo2, and Nadim Obeid2 1 Department of Linguistics, The University …

A language-based model for specifying and staging mixed-initiative dialogs
S Perugini, JW Buck – Proceedings of the 8th ACM SIGCHI Symposium …, 2016 – dl.acm.org
Page 1. A Language-based Model for Specifying and Staging Mixed-initiative Dialogs Saverio Perugini Joshua W. Buck Department of Computer Science University of Dayton Dayton, Ohio 45429 USA {saverio,jbuck1}@udayton.edu …

A Framework for Audiovisual Dialog-based Human Computer Interaction
G Galatas, F Makedon – Journal ISSN, 2014 – jmta.avestia.com
… Conference (EUSIPCO), 2012, 2714- 2717. [12] D. Bohus, AI Rudnicky “The RavenClaw dialog management framework: Architecture and systems”, Computer Speech & Language, 23(2), 2009, 332-361. [13] V. Rieser, O. Lemon …

A trialogue-based spoken dialogue system for assessment of english language learners
CM Mitchell, K Evanini, K Zechner – Proceedings International Workshop …, 2014 – uni-ulm.de
… NAACL-HLT. [3] Bohus, D., Rudnicky, A. (2009). The RavenClaw Dialog Management Framework: Architecture and Systems. Computer Speech and Language 23(3), 332-361. [4] Cai, C., Miller, R., Seneff, S. (2013). Enhancing …

Multilingual spoken dialog systems for handheld devices
BML Srivastava – 2017 – researchgate.net
… Efficient and scalable method for language identification. • Articulatory gesture based invariant features for keyword spotting. • Development of domain-independent dialog management framework and its application for Health- care domain in mobile environment. Page 8 …

Attention and engagement aware multimodal conversational systems
Z Yu – Proceedings of the 2015 ACM on International …, 2015 – dl.acm.org
… Association for Computational Linguistics, 98–109. [5] Dan Bohus and Alexander I Rudnicky. 2009. The RavenClaw dialog management framework: Architecture and systems. Computer Speech & Language 23, 3 (2009), 332–361. [6] Chih-Chung Chang and Chih-Jen Lin …

Interrogative Sentence Generation and Dialogue Management in Intelligent Tutoring System
Z ZHANG, X SHANG – 2015 – atlantis-press.com
… knowledge is proposed, extending the classical slot with OR,AND and SEQ aspects; (2) An algorithm to assess the correctness of the user’s answer and to find the error point if not correct is also proposed; (3) a integerated dialogue management framework is designed …

Learning and Reusing Dialog for Repeated Interactions with a Situated Social Agent
J Kennedy, I Leite, A Pereira, M Sun, B Li… – … on Intelligent Virtual …, 2017 – Springer
… In: Proc. of the 5th International Conference on Intelligent Virtual Agents. pp. 305–316. Springer Berlin Heidelberg (2005) 2. Bohus, D., Rudnicky, A.: The RavenClaw dialog management framework: Archi- tecture and systems …

Initiations and Interruptions in a Spoken Dialog System
L Nicolich-Henkin, C Rose, AW Black – … of the 17th Annual Meeting of …, 2016 – aclweb.org
… In Proceedings of the HFES Annual Meeting 2009. Citeseer. Dan Bohus and Alexander I Rudnicky. 2009. The ravenclaw dialog management framework: Archi- tecture and systems. Computer Speech & Language, 23(3):332–361. Randall W Engle. 2002 …

Cost-level integration of statistical and rule-based dialog managers
S Watanabe, JR Hershey, TK Marks… – … Annual Conference of …, 2014 – isca-speech.org
… Special Interest Group on Discourse and Dialogue (SIG- DIAL), 2005. [15] Dan Bohus and Alexander I Rudnicky, “The Raven- Claw dialog management framework: Architecture and systems,” Computer Speech & Language, vol. 23, no. 3, pp. 332–361, 2009 …

Personalised Dialogue Management for Users with Speech Disorders
I Casanueva – 2017 – core.ac.uk
… The main questions this thesis aims to answer are the following: • Can the POMDP dialogue management framework improve the interaction performance of a VUI developed for dysarthric speakers? If so, what modi- fications are necessary …

Natural language processing in serious games: a state of the art
D Picca, D Jaccard, G Eberlé – International Journal of …, 2015 – pdfs.semanticscholar.org
Page 1. pag. 77 International Journal of Serious Games Volume 2, Issue 3, July 2015 ISSN: 2384-8766 DOI: 10.17083/ijsg.v%vi%i.87 Natural Language Processing in Serious Games: A state of the art. Davide Picca1, Dominique …

Speech Act Identification Using Semantic Dependency Graphs with Probabilistic Context-Free Grammars
JF Yeh – ACM Transactions on Asian and Low-Resource …, 2016 – dl.acm.org
… 2001; Allen et al. 2001]. Although the dialogue management frameworks in these systems can manage the dialogue flow effectively, these frameworks cannot be applied to complex applications such as dy- namic multiple domain switching dialogue systems …

Experimental evaluation of a multi-modal user interface for a robotic service
A Di Nuovo, N Wang, F Broz, T Belpaeme… – Conference Towards …, 2016 – Springer
… and effectiveness. J. Am. Med. Directors Assoc. 13(2), 114–120 (2012)CrossRef Google Scholar. 6. Bohus, D., Rudnicky, AI: The ravenclaw dialog management framework: architecture and systems. Comput. Speech Lang. 23(3 …

Daily life support at home through a virtual support partner
S Hanke, E Sandner, S Kadyrov… – 2016 – IET
… User Recognition Modules • Speech Recognition Modules • Environment Context Analysis • VSP Multimodal Dialogue Management Framework and Avatar • Knowledge Base • Home Daily Activity and Safety Services • Sensor and Sensor connection modules …

Online Learning of Stocastic Bi-automaton to Model Dialogues
OR Orozko, MI Torres – Iberian Conference on Pattern Recognition and …, 2015 – Springer
… 04, and by the Basque Government under grants PRE_2013_1_1249 and IT685-13. References. 1. Bohus, D., Rudnicky, AI: The RavenClaw dialog management framework: architecture and systems. Comput. Speech Lang …

Matrix factorization with domain knowledge and behavioral patterns for intent modeling
YN Chen, M Sun, AI Rudnicky – … on Machine Learning for SLU and …, 2015 – researchgate.net
… IEEE Transactions on Audio, Speech, and Language Processing, 14(1):213–222, 2006. [4] Dan Bohus and Alexander I Rudnicky. The RavenClaw dialog management framework: Architecture and systems. Computer Speech & Language, 23(3):332–361, 2009 …

Classification of Correction Turns in Multilingual Dialogue Corpus
I Kraljevski, D Hirschfeld – Proc. Interspeech 2018, 2018 – isca-speech.org
… Natural language engineering. 2000 Sep; 6(3-4):323-40. [3] D. Bohus and A. Rudnicky, “The RavenClaw dialog management framework: architecture and systems”. Computer Speech & Language, 23(3), pp.332-361, 2009 …

Entropy-driven dialog for topic classification: detecting and tackling uncertainty
M Serras, N Perez, MI Torres, A Del Pozo – Dialogues with Social Robots, 2017 – Springer
… Footnotes. 1. The implementation can be found in the Scikit-learn Python package [11]. References. 1. Bohus, D., Rudnicky, A.: The RavenClaw dialog management framework: architecture and systems. Comput. Speech Lang …

Speech and language in humanoid robots
A Cangelosi, T Ogata – Humanoid Robotics: A Reference, 2016 – Springer
Page 1. Speech and Language in Humanoid Robots Angelo Cangelosi and Tetsuya Ogata Contents …

A gaze controller for coordinating mutual gaze during conversational turn-taking in human-robot interaction
F Broz, H Lehmann – Proceedings of the Tenth Annual ACM/IEEE …, 2015 – dl.acm.org
… 2010. [4] D. Bohus and AI Rudnicky. The ravenclaw dialog management framework: Architecture and systems. Computer Speech & Language, 23(3):332–361, 2009. [5] F. Broz, H. Lehmann, CL Nehaniv, and K. Dautenhahn …

A cognitive model for multi-agent collaboration
Z Shi, J Zhang, J Yue, X Yang – Int’l J. Intelligence …, 2014 – pdfs.semanticscholar.org
… 284-291. http://dx.doi.org/10.1145/267658.267730 [6] D. Bohus and A. Rudnicky, “The RavenClaw Dialog Management Framework: Architecture and Systems,” Computer Speech & Language, Vol. 23, No. 3, 2009, pp. 332-361 …

Learning Generative End-to-end Dialog Systems with Knowledge
T Zhao – 2017 – cs.cmu.edu
Page 1. November 21, 2017 DRAFT Learning Generative End-to-end Dialog Systems with Knowledge Tiancheng Zhao December 2017 Language Technologies Institute School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 …

User Modeling by Using Bag-of-Behaviors for Building a Dialog System Sensitive to the Interlocutor’s Internal State
Y Chiba, M Ito, T Nose, A Ito – Proceedings of the 15th Annual Meeting of …, 2014 – aclweb.org
… Dan Bohus and Alexander I. Rudnicky. 2009. The raven- claw dialog management framework: Architecture and systems. Computer Speech & Language, 23(3):332–361. Yuya Chiba and Akinori Ito. 2012. Estimating a user’s internal state before the first input utterance …

Let’s talk! speaking virtual counselor offers you a brief intervention
U Yasavur, C Lisetti, N Rishe – Journal on Multimodal User Interfaces, 2014 – Springer
We developed a virtual counseling system which can deliver brief alcohol health interventions via a 3D anthropomorphic speech-enabled interface—a new field for spoken dialog interactions with intellig.

Reprompts as error handling strategy in human-agent-dialog? User responses to a system’s display of non-understanding
C Opfermann, K Pitsch – 2017 26th IEEE International …, 2017 – ieeexplore.ieee.org
… 2016, pp. 4229–4241. [3] D. Bohus, and A. Rucknicky, “The RavenClaw dialog management framework: architecture and systems”, in Computer Speech and Language 23, 2009, pp. 332–361. [4] G. Skantze. “Exploring human …

Integrating meta-level and domain-level knowledge for task-oriented dialogue
A Gabaldon, P Langley, B Meadows – Advances in Cognitive Systems, 2014 – Citeseer
Page 1. Advances in Cognitive Systems 3 (2014) 201–219 Submitted 9/2013; published 7/2014 Integrating Meta-Level and Domain-Level Knowledge for Task-Oriented Dialogue Alfredo Gabaldon ALFREDO.GABALDON@SV.CMU.EDU Pat Langley …

The multi-modal interface of Robot-Era multi-robot services tailored for the elderly
A Di Nuovo, F Broz, N Wang, T Belpaeme… – Intelligent Service …, 2018 – Springer
Socially assistive robotic platforms are now a realistic option for the long-term care of ageing populations. Elderly users may benefit from many services provided by robots operating in different env.

Integrated Interpretation and Generation of Task-Oriented Dialog
A Gabaldon, B Meadows, P Langley – … of the Fifth International Workshop on …, 2014 – isle.org
… 11 References [1] Austin JL (1962) How to do things with words. Harvard University Press, Cambridge, MA [2] Bohus D, Rudnicky A (2009) The RavenClaw dialog management framework: Architecture and systems. Computer …

From capturing to generating human behavior: closing the interaction loop at the HUBIC Lab
S Raptis, M Giagkou – Proceedings of the 20th Pan-Hellenic Conference …, 2016 – dl.acm.org
… can acquire live, multimodal data from the humans that participate in the dialogue; processing modules that will analyze the different signals, fuse them and extract higher-level information regarding the participants and the dialogue; a dialogue management framework that will …

Formative feedback in an interactive spoken CALL system
N Tsourakis, E Rayner, C Baur – 2014 – archive-ouverte.unige.ch
… components. 3.2. Dialogue Manager & Client application The dialogue management framework implements a version of Update Semantics [19]. The central concepts are those of dialogue move, information state and dialogue action …

Agentní p?ístup k dialogovému ?ízení
T Nestorovi? – 2016 – otik.uk.zcu.cz
… 35 4 Daisy Dialogue Management Framework … 35 3.13 A lexicon entry for the Carrive SILdef concept . . . . . 36 4 Daisy Dialogue Management Framework 4.1 Simplified timetable domain data model …

Spoken dialog systems: from automatic speech recognition to spoken language understanding
AR Intilisano – 2016 – archivia.unict.it
… These resources serve as a basis of knowledge that is necessary to understand and to interact with users. 2 Dan Bohus, Alexander I. Rudnicky, “The RavenClaw dialog management framework: Architecture and systems”, Computer Speech and Language, vol. 23, no …

Adapting spoken dialog systems towards domains and users
M Sun – 2016 – lti.cs.cmu.edu
Page 1. Adapting Spoken Dialog Systems Towards Domains and Users Ming Sun CMU-LTI-16-006 Language Technologies Institute School of Computer Science Carnegie Mellon University 5000 Forbes Ave., Pittsburgh, PA 15213 www.lti.cs.cmu.edu …

Spoken dialogue systems: architectures and applications
JM Olaso Fernández – 2017 – addi.ehu.es
Page 1. Spoken Dialogue Systems: Architectures and Applications Doctoral Thesis Advisor María Inés Torres Barañano Leioa 2017 Javier Mikel Olaso Fernandez (cc)2017 JAVIER MIKEL OLANO FERNANDEZ (cc by-nc 4.0) Page 2. Contents List of Figures …

An Architecture For Securing Heterogeneous Web Service
G Bharathy, J Charles, SBR Kumar – 2014 – ijarcst.com
… [4] illustrate a model that can be deployed in the XACML standard by exploiting its extension points for the definition of new functions, and introducing a dialog management framework to enable access control interactions between Web service clients and servers …

Modelling Incremental Self-Repair Processing in Dialogue.
J Hough – 2014 – qmro.qmul.ac.uk
… 72 3.6 Jindigo vocaliser module (Skantze and Hjalmarsson, 2010) . . . . 80 3.7 The DIUM dialogue management framework as an IU network (Buß and Schlangen, 2011) …

Dialogue Systems and Dialogue Management
D Burgan – 2016 – dtic.mil
Page 1. UNCLASSIFIED UNCLASSIFIED Dialogue Systems & Dialogue Management Deeno Burgan National Security & ISR Division Defence Science and Technology Group DST-Group-TR-3331 ABSTRACT A spoken dialogue …

Introduction to Intellectual Conversational Agents
K Panesar – Epicurious, 2015 – bradfordcollege.ac.uk
… Figure 3-Dialogue management framework for a natural language understanding system with conversational agents (Nolan, 2014) Future research As mentioned previously, ICAs are an exciting current research topic, revealing a taxonomy of CA purposes inside libraries …

Context and NLP
V Hung – Context in Computing, 2014 – Springer
… Griol et al. (2014) conceived a context-based dialog management framework that was reusable for different domains. Their work exemplifies the idea that context-centric architecture lends itself to easily interchangeable knowledge bases …

Adding Communicative and Affective Strategies to an Embodied Conversational Agent to Enhance Second Language Learners’ Willingness to Communicate
E Ayedoun, Y Hayashi, K Seta – International Journal of Artificial …, 2018 – Springer
Page 1. ARTICLE Open Access Adding Communicative and Affective Strategies to an Embodied Conversational Agent to Enhance Second Language Learners’ Willingness to Communicate Emmanuel Ayedoun1 & Yuki Hayashi1 & Kazuhisa Seta1 © The Author(s) 2018 …

Miscommunication Detection and Recovery for Spoken Dialogue Systems in Physically Situated Contexts
M Marge – 2015 – lti.cs.cmu.edu
Page 1. Miscommunication Detection and Recovery for Spoken Dialogue Systems in Physically Situated Contexts Matthew Marge CMU-LTI-15-015 Language Technologies Institute School of Computer Science Carnegie Mellon …

Nonstrict hierarchical reinforcement learning for interactive systems and robots
H Cuayáhuitl, I Kruijff-Korbayová… – ACM Transactions on …, 2014 – dl.acm.org
Page 1. 15 Nonstrict Hierarchical Reinforcement Learning for Interactive Systems and Robots HERIBERTO CUAY ´AHUITL, Heriot-Watt University, United Kingdom IVANA KRUIJFF-KORBAYOV ´A, German Research Centre …

Amanuensis: The Programmer’s Apprentice
T Dean, M Chiang, M Gomez, N Gruver, Y Hindy… – arXiv preprint arXiv …, 2018 – arxiv.org
Page 1. Amanuensis: The Programmer’s Apprentice Thomas Dean1,2 Maurice Chiang2 Marcus Gomez2 Nate Gruver2 Yousef Hindy2 Michelle Lam2 Peter Lu2 Sophia Sanchez2 Rohun Saxena2 Michael Smith2 Lucy Wang2 Catherine Wong2 Abstract …

Estimating the User’s State before Exchanging Utterances Using Intermediate Acoustic Features for Spoken Dialog Systems.
Y Chiba, T Nose, M Ito, A Ito – IAENG International Journal of …, 2016 – researchgate.net
Page 1. Estimating the User’s State before Exchanging Utterances Using Intermediate Acoustic Features for Spoken Dialog Systems Yuya Chiba, Takashi Nose, Masashi Ito, and Akinori Ito, Member, IAENG Abstract—The spoken …

Developing Amharic Spoken Dialogue System: A Hybrid Approach
F Seyoum – 2015 – academia.edu
… Page 23. 12 The tools described below were used in the process of collecting data, training the ASR, as a dialogue management framework and text processing. These tools were selected based on their ease of access and researcher’s prior experience …

Iris: A Conversational Agent for Complex Tasks
E Fast, B Chen, J Mendelsohn, J Bassen… – Proceedings of the …, 2018 – dl.acm.org
Page 1. ACM Classification Keywords H.5.2 Information Interfaces and Presentation: Natural Lan- guage INTRODUCTION For decades, the promise of computers that communicate with us through natural language has been …

Is There Anything Else I Can Help You With? Challenges in Deploying an On-Demand Crowd-Powered Conversational Agent
THK Huang, WS Lasecki, A Azaria… – Fourth AAAI Conference on …, 2016 – aaai.org
Page 1. “Is There Anything Else I Can Help You With?” Challenges in Deploying an On-Demand Crowd-Powered Conversational Agent Ting-Hao (Kenneth) Huang,1 Walter S. Lasecki,2 Amos Azaria,1,3 Jeffrey P. Bigham1 1 Carnegie Mellon University, Pittsburgh, PA, USA …

A Web-Based Self-Learning Grammar for Spoken Language Understanding
SM Biondi, V Catania, R Di Natale… – World Academy of …, 2014 – waset.org
… 2. Association for Computational Linguistics, Stroudsburg, PA, USA, 539-545. [7] Dan Bohus, Alexander I. Rudnicky, “The RavenClaw dialog management framework: Architecture and systems”, _Computer Speech and Language, _vol. 23, no …

A Scalable Mixed Initiative Dialoque Manager
RS Meertens – 2015 – theses.ubn.ru.nl
Page 1. A Scalable Mixed Initiative Dialogue Manager Presenting a Novel State Representation and Dialogue Design Method for the Spoken Dialogue System of the Romeo Robot Masters Thesis Cognitive Artificial Intelligence Author: Roland Meertens, s3009653 …

Extending a lexicalist functional grammar through speech acts, constructions and conversational software agents
B Nolan – Language Processing and Grammars: The role of …, 2014 – books.google.com
… 6. The dialogue management framework for conversational agents I will now proceed to propose the dialogue management framework needed to support conversational agents that use natural language, and in which is situated an implemen- tation of the RRG model as the …

Towards Modeling Collaborative Task Oriented Multimodal Human-human Dialogues
L Chen – 2014 – indigo.lib.uic.edu
Page 1. Towards Modeling Collaborative Task Oriented Multimodal Human-human Dialogues BY Lin Chen MA (Tsinghua University, Beijing, China) 2007 BA (Tsinghua University, Beijing, China) 2004 THESIS Submitted as …

Role and Reference Grammar 2015
V Valin, B Nolan – 2015 – ray.yorksj.ac.uk
Page 1. York St John University Valin, Van and Nolan, Brian (2015) Role and Reference Grammar 2015. In: Valin, Van and Nolan, Brian, (eds.) Role and Reference Grammar 2015. Heinrich Heine University, Dusseldorf, Germany, Heinrich Heine University, p. 1 …