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"Let's Go, DUDE!" using the Spoken Dialogue Challenge to teach Spoken Dialogue development

Helen Hastie, Nicolas Merigaud, Xingkun Liu, Oliver Lemon
2010 2010 IEEE Spoken Language Technology Workshop  
Educational tools are essential in teaching the field of Spoken Dialogue Systems given the complexity and variety of disciplines involved.  ...  The experience of creating real Spoken Dialogue Systems that they can call through a VoiceXML platform, increases students' motivation and improves learning by grounding key concepts, including introducing  ...  THE 2010 SPOKEN DIALOGUE CHALLENGE As a case study of using DUDE as a teaching tool, we look to the 2010 Spoken Dialogue Challenge where the challenge was to create a Spoken Dialogue System that allows  ... 
doi:10.1109/slt.2010.5700897 dblp:conf/slt/HastieMLL10 fatcat:jvevtwx32fgaxp7ee4yciwpgwq

Bayesian dialogue system for the Let's Go Spoken Dialogue Challenge

B. Thomson, K. Yu, S. Keizer, M. Gasic, F. Jurcicek, F. Mairesse, S. Young
2010 2010 IEEE Spoken Language Technology Workshop  
The resulting system was deployed as part of the 2010 Spoken Dialogue Challenge.  ...  This paper describes how Bayesian updates of dialogue state can be used to build a bus information spoken dialogue system.  ...  CONCLUSION This paper has described a spoken dialogue system for the Let's Go 2010 spoken dialogue challenge, built using Bayesian updates of dialogue state.  ... 
doi:10.1109/slt.2010.5700896 dblp:conf/slt/ThomsonYKGJMY10 fatcat:4myy6mwvs5dwzln6xzaxmlsryq

Introduction to the Special Issue on Dialog with Robots

Dan Bohus, Eric Horvitz, Takayuki Kanda, Bilge Mutlu, Antoine Raux
2011 The AI Magazine  
The contributing authors have been working in interrelated fields of human-robot interaction, dialog systems, virtual agents, and other related areas and address core concepts in spoken dialog with embodied  ...  The articles in this collection address diverse aspects of dialog with robots, but are unified in addressing opportunities with spoken language interaction, physical embodiment, and enriched representations  ...  research challenges in the interplay between dialogue and task modeling.  ... 
doi:10.1609/aimag.v32i4.2375 fatcat:omemogmsujgjppeshtepl7gj7q

Page 447 of Computational Linguistics Vol. 28, Issue 4 [page]

2002 Computational Linguistics  
The purpose of this article is to explore the issues of spoken-dialogue summa- rization and to describe and evaluate an implementation addressing some of the core challenges intrinsic to the task.  ...  This article introduces the task and the challenges involved and motivates and presents an approach for obtaining automatic-extract summaries for human transcripts of multiparty dialogues of four different  ... 

Deep Learning for Conversational AI

Pei-Hao Su, Nikola Mrkšić, Iñigo Casanueva, Ivan Vulić
2018 Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Tutorial Abstracts  
From a research perspective, the design of spoken dialogue systems provides a number of significant challenges, as these systems depend on: a) solving several difficult NLP and decision-making tasks; and  ...  Objectives Spoken Dialogue Systems (SDS) have great commercial potential as they promise to revolutionise the way in which humans interact with machines.  ...  2 Tutorial Overview Part I: Introduction to Statistical Dialogue Systems The modular architecture of a goal-oriented spoken dialogue system will be introduced and the range of approaches available for  ... 
doi:10.18653/v1/n18-6006 dblp:conf/naacl/SuMCV18 fatcat:2psamruxrbbv7pnqfpxi2tnfjy

Talking with Higgins: Research Challenges in a Spoken Dialogue System [chapter]

Gabriel Skantze, Jens Edlund, Rolf Carlson
2006 Lecture Notes in Computer Science  
This paper presents the current status of the research in the Higgins project and provides background for a demonstration of the spoken dialogue system implemented within the project.  ...  The project represents the latest development in the ongoing dialogue systems research at KTH.  ...  Acknowledgements This research was carried out at the Centre for Speech Technology, a competence centre at KTH, supported by VINNOVA (The Swedish Agency for Innovation Systems), KTH and participating Swedish  ... 
doi:10.1007/11768029_21 fatcat:i7gb5bw2fvctxiumgwnwhfthae

Deep Learning for Dialogue Systems

Yun-Nung Chen, Asli Celikyilmaz, Dilek Hakkani-Tür
2017 Proceedings of ACL 2017, Tutorial Abstracts  
In the past decade, goal-oriented spoken dialogue systems have been the most prominent component in today's virtual personal assistants.  ...  Hence, this tutorial is designed to focus on an overview of the dialogue system development while describing most recent research for building dialogue systems and summarizing the challenges, in order  ...  The last two sections focus on discussing the recent trends and current challenges on dialogue system technology and summarize the challenges and conclusions.  ... 
doi:10.18653/v1/p17-5004 dblp:conf/acl/ChenCH17 fatcat:eyltpy5guna6bfsczav3vji7x4

Robust natural language dialogues for instruction tasks

Matthias Scheutz, Grant R. Gerhart, Douglas W. Gage, Charles M. Shoemaker
2010 Unmanned Systems Technology XII  
Being able to understand and carry out spoken natural instructions even in limited domains is extremely challenging for current robots.  ...  The difficulties are multifarious, ranging from problems with speech recognizers to difficulties with parsing disfluent speech or resolving references based on perceptual or task-based knowledge.  ...  The author would also like to acknowledge several people for their work on various parts of the robotic architecture, including Paul Schermerhorn, James Kramer, Tim Brick, Rehj Cantrell, Xuan Wu, and Juraj  ... 
doi:10.1117/12.852179 fatcat:ja6fjxiaizc7pb3koeq465omgi

Semantic parser enhancement for dialogue domain extension with little data

Su Zhu, Lu Chen, Kai Sun, Da Zheng, Kai Yu
2014 2014 IEEE Spoken Language Technology Workshop (SLT)  
The approach was evaluated on the DSTC3 (the third Dialog State Tracking Challenge) data corpus.  ...  Statistical semantic parser trained on sufficient in-domain data has shown robustness to speech recognition errors in end-to-end spoken dialogue systems.  ...  in end-to-end spoken dialogue systems.  ... 
doi:10.1109/slt.2014.7078597 dblp:conf/slt/ZhuCSZY14 fatcat:grbklnxywvcabeamk56dyqird4

Dialogue System: A Brief Review [article]

Suket Arora, Kamaljeet Batra, Sarabjit Singh
2013 arXiv   pre-print
This paper will discuss about dialogue system, its components, challenges and its evaluation. This paper helps the researchers for getting info regarding dialogues system.  ...  A Dialogue System is a system which interacts with human in natural language. At present many universities are developing the dialogue system in their regional language.  ...  In the spoken dialogue systems the problem related to utterance of the user occur like ill formed utterances.  ... 
arXiv:1306.4134v1 fatcat:umwgvh6lgjd5llb6phgfezicee

The State of SLIVAR: What's next for robots, human-robot interaction, and (spoken) dialogue systems? [article]

Casey Kennington
2021 arXiv   pre-print
spoken dialogue systems research.  ...  We synthesize the reported results and recommendations of recent workshops and seminars that convened to discuss open questions within the important intersection of robotics, human-robot interaction, and  ...  To further illustrate how challenging spoken dialogue can be, Schlangen (2020) gives an example of a fairly mundane dialogue between two people walking together in a park: a.  ... 
arXiv:2108.10931v1 fatcat:sest2lfd4fdjvpxzingqnmfw4u

Supporting K-5 Learners with Dialogue Systems [chapter]

Jennifer Tsan, Kristy Elizabeth Boyer
2015 Lecture Notes in Computer Science  
It discusses the challenges faced so far and how we plan to solve those challenges to bring individualized dialogue systems technology to young learners.  ...  This doctoral consortium paper presents our goal of developing a dialogue system in the form of an interactive spoken dialogue agent with embedded assessment to support K-5 students in learning computer  ...  This work is supported in part by the Wake County Public School System.  ... 
doi:10.1007/978-3-319-19773-9_136 fatcat:qegp3fgm6zaw3gmfamehgfwcpa

Spoken dialogue systems: Challenges, and opportunities for research

Jason D. Williams
2009 2009 IEEE Workshop on Automatic Speech Recognition & Understanding  
Although good for exploring and experimenting with natural spoken language interactions, this approach makes the system more fragile in the presence of less-than-optimal conditions...  ...  Data and dialogue systems In our community it is often said: "There's no data like more data."  ...  use Spoken dialogue systems: challenges, and opportunities for research Life "in the wild" is different Same system (Let's Go), standard conditions Antoine Raux, Brian Langner, Dan Bohus, Alan W Black  ... 
doi:10.1109/asru.2009.5372951 dblp:conf/asru/Williams09 fatcat:i3cvtxkgvrgjtawbcvn3dhmil4

The Issue in Assessing Listening: What Listening Aspect May Be Problematic Assessed Trough the Utilization of Technology

Jaftiyatur Rohaniyah, Nasrullah Nasrullah
2022 International Journal of English Education and Linguistics  
An overview of some researches provide that student get challenge to comprehend the native spoken input delivery such as, an accent, the length of speech, long spoken passage and linguistic feature.  ...  The authentic dialogue provides less density and length of the information than the dialogue created in the textbook, that the information incorporated in the machine/technology less improve the students  ...  other sides the authentic dialogue Less provided the length and density of information than the created dialogue in the textbook REFERENCES  ... 
doi:10.33650/ijoeel.v3i2.3009 fatcat:rssuhioskzcw7orck5s5w253yq

DialogSum: A Real-Life Scenario Dialogue Summarization Dataset [article]

Yulong Chen, Yang Liu, Liang Chen, Yue Zhang
2021 arXiv   pre-print
Experimental results show unique challenges in dialogue summarization, such as spoken terms, special discourse structures, coreferences and ellipsis, pragmatics and social common sense, which require specific  ...  To this end, we propose DialogSum, a large-scale labeled dialogue summarization dataset. We conduct empirical analysis on DialogSum using state-of-the-art neural summarizers.  ...  Acknowledgments Yue Zhang is the corresponding author.  ... 
arXiv:2105.06762v4 fatcat:bawebchcdfcexpdh6x2l32tl4u
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