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ConvLab: Multi-Domain End-to-End Dialog System Platform

Sungjin Lee, Qi Zhu, Ryuichi Takanobu, Zheng Zhang, Yaoqin Zhang, Xiang Li, Jinchao Li, Baolin Peng, Xiujun Li, Minlie Huang, Jianfeng Gao
2019 Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations  
in multi-domain end-to-end dialog settings.  ...  We present ConvLab, an open-source multidomain end-to-end dialog system platform, aiming to enable researchers to quickly set up experiments with reusable components and compare a large set of different  ...  The multi-domain end-to-end task completion dialog track in DSTC8 will employ ConvLab as the challenge platform, giving rise to a reference use case. Figure 1 : 1 Overall design of ConvLab.  ... 
doi:10.18653/v1/p19-3011 dblp:conf/acl/LeeZTZZLLPLHG19 fatcat:3ddyloxlrfeejh6en5dq7od4xm

ConvLab: Multi-Domain End-to-End Dialog System Platform [article]

Sungjin Lee, Qi Zhu, Ryuichi Takanobu, Xiang Li, Yaoqin Zhang, Zheng Zhang, Jinchao Li, Baolin Peng, Xiujun Li, Minlie Huang, Jianfeng Gao
2019 arXiv   pre-print
in multi-domain end-to-end dialog settings.  ...  We present ConvLab, an open-source multi-domain end-to-end dialog system platform, that enables researchers to quickly set up experiments with reusable components and compare a large set of different approaches  ...  The multi-domain end-to-end task completion dialog track in DSTC8 will employ ConvLab as the challenge platform, giving rise to a reference use case.  ... 
arXiv:1904.08637v1 fatcat:6slmzkdo7vctzkojxdqapc7er4

ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems [article]

Qi Zhu, Zheng Zhang, Yan Fang, Xiang Li, Ryuichi Takanobu, Jinchao Li, Baolin Peng, Jianfeng Gao, Xiaoyan Zhu, Minlie Huang
2020 arXiv   pre-print
We present ConvLab-2, an open-source toolkit that enables researchers to build task-oriented dialogue systems with state-of-the-art models, perform an end-to-end evaluation, and diagnose the weakness of  ...  The interactive tool provides a user interface that allows developers to diagnose an assembled dialogue system by interacting with the system and modifying the output of each system component.  ...  ConvLab-2 will be the development platform for Multi-domain Task-oriented Dialog Challenge II track in the 9th Dialog System Technology Challenge (DSTC9) 1 .  ... 
arXiv:2002.04793v2 fatcat:zng5qiadanbcpmhqskglowexye

Is Your Goal-Oriented Dialog Model Performing Really Well? Empirical Analysis of System-wise Evaluation [article]

Ryuichi Takanobu, Qi Zhu, Jinchao Li, Baolin Peng, Jianfeng Gao, Minlie Huang
2020 arXiv   pre-print
Our results show that (1) a pipeline dialog system trained using fine-grained supervision signals at different component levels often obtains better performance than the systems that use joint or end-to-end  ...  There is a growing interest in developing goal-oriented dialog systems which serve users in accomplishing complex tasks through multi-turn conversations.  ...  We would like to thank anony-mous reviewers for their valuable suggestions, and Sungjin Lee for helpful discussions.  ... 
arXiv:2005.07362v1 fatcat:bynr6hc3snennpi6xj3ajr7foa

Hierarchical Context Enhanced Multi-Domain Dialogue System for Multi-domain Task Completion [article]

Jingyuan Yang, Guang Liu, Yuzhao Mao, Zhiwei Zhao, Weiguo Gao, Xuan Li, Haiqin Yang, Jianping Shen
2020 arXiv   pre-print
Task 1 of the DSTC8-track1 challenge aims to develop an end-to-end multi-domain dialogue system to accomplish complex users' goals under tourist information desk settings.  ...  The main motivation of our system is to comprehensively explore the potential of hierarchical context for sufficiently understanding complex dialogues.  ...  The DSTC8-track1 challenge provides ConvLab, a platform consisting of a rich set of runtime engines, for building a multi-domain end-to-end dialogue system.  ... 
arXiv:2003.01338v1 fatcat:twyhqeg4nfasjn6juffcdh4gku

Show Us the Way: Learning to Manage Dialog from Demonstrations [article]

Gabriel Gordon-Hall, Philip John Gorinski, Gerasimos Lampouras, Ignacio Iacobacci
2020 arXiv   pre-print
We present our submission to the End-to-End Multi-Domain Dialog Challenge Track of the Eighth Dialog System Technology Challenge.  ...  At the core of our system is a reinforcement learning algorithm which uses Deep Q-learning from Demonstrations to learn a dialog policy with the help of expert examples.  ...  -H.; Convlab: Multi-domain end-to-end dialog system platform. and Young, S. 2015. Reward shaping with recurrent neural In Proc. of ACL 2019.  ... 
arXiv:2004.08114v1 fatcat:ps57ibfqufg4hhkeuqmvksd77m

SUMBT+LaRL: Effective Multi-domain End-to-end Neural Task-oriented Dialog System

Hwaran Lee, Seokhwan Jo, HyungJun Kim, Sangkeun Jung, Tae-Yoon Kim
2021 IEEE Access  
ACKNOWLEDGMENT The authors would like to thank to SK Telecom Meta AI team for GPU cluster supports to conduct massive experiments.  ...  In Sec.2, we briefly review end-to-end multi-domain taskcompletion dialog systems and the DSTC8 Challenge.  ...  In multi-domain dialogs, 1 to 3 domains appear in each multi-domain dialog session. Dialog states and system dialog acts are fully annotated at each turn as described in Fig.2 .  ... 
doi:10.1109/access.2021.3105461 fatcat:edp5dogan5d6lcd2gmcdkfmbem

The Eighth Dialog System Technology Challenge [article]

Seokhwan Kim, Michel Galley, Chulaka Gunasekara, Sungjin Lee, Adam Atkinson, Baolin Peng, Hannes Schulz, Jianfeng Gao, Jinchao Li, Mahmoud Adada, Minlie Huang, Luis Lastras (+7 others)
2019 arXiv   pre-print
In line with recent challenges, the eighth edition focuses on applying end-to-end dialog technologies in a pragmatic way for multi-domain task-completion, noetic response selection, audio visual scene-aware  ...  This paper introduces the Eighth Dialog System Technology Challenge.  ...  To address these concerns, we provide ConvLab (github.com/ConvLab/ConvLab) [12] , a multidomain end-to-end dialog system platform covering a range of state-of-the-art models, to reduce the efforts of  ... 
arXiv:1911.06394v1 fatcat:lefow54nkngendt3hfjbmnc2ou

SUMBT+LaRL: End-to-end Neural Task-oriented Dialog System with Reinforcement Learning [article]

Hwaran Lee, Seokhwan Jo, HyungJun Kim, Sangkeun Jung, Tae-Yoon Kim
2020 arXiv   pre-print
In this paper, we propose an end-to-end trainable neural dialog system with reinforcement learning, named SUMBT+LaRL.  ...  We propose new success criteria for reinforcement learning to the end-to-end dialog system as well as provide experimental analysis on a different result aspect depending on the success criteria and evaluation  ...  ACKNOWLEDGMENT The authors would like to thank to SK Telecom Meta AI team for GPU cluster supports to conduct massive experiments.  ... 
arXiv:2009.10447v2 fatcat:svbghxgjafg3nkbywpillw2w4q

ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational Agents [article]

Chia-Yu Li, Daniel Ortega, Dirk Väth, Florian Lux, Lindsey Vanderlyn, Maximilian Schmidt, Michael Neumann, Moritz Völkel, Pavel Denisov, Sabrina Jenne, Zorica Kacarevic, Ngoc Thang Vu
2020 arXiv   pre-print
We present ADVISER - an open-source, multi-domain dialog system toolkit that enables the development of multi-modal (incorporating speech, text and vision), socially-engaged (e.g. emotion recognition,  ...  experienced users, such as linguists or cognitive scientists, thereby providing a flexible platform for collaborative research.  ...  Related Work Other tools for building dialog systems include ConvLab (Lee et al., 2019) , an open-source, textbased dialog system platform that supports both pipelined architectures and an end-to-end  ... 
arXiv:2005.01777v1 fatcat:4lbjmzgn3zbnzp3gpvbrpbaqu4

Overview of the Ninth Dialog System Technology Challenge: DSTC9 [article]

Chulaka Gunasekara, Seokhwan Kim, Luis Fernando D'Haro, Abhinav Rastogi, Yun-Nung Chen, Mihail Eric, Behnam Hedayatnia, Karthik Gopalakrishnan, Yang Liu, Chao-Wei Huang, Dilek Hakkani-Tür, Jinchao Li (+26 others)
2020 arXiv   pre-print
Multi-domain task-oriented dialog, 3. Interactive evaluation of dialog, and 4. Situated interactive multi-modal dialog.  ...  This edition of the DSTC focuses on applying end-to-end dialog technologies for four distinct tasks in dialog systems, namely, 1. Task-oriented dialog Modeling with unstructured knowledge access, 2.  ...  Multi-domain Task-oriented Dialog Challenge II, focuses on end-to-end multi-domain task completion dialog and cross-lingual multi-domain dialog state tracking.  ... 
arXiv:2011.06486v1 fatcat:myyzhydgyvf7pdd23557i6krsm

End-to-End Conversational Search for Online Shopping with Utterance Transfer [article]

Liqiang Xiao, Jun Ma2, Xin Luna Dong, Pascual Martinez-Gomez, Nasser Zalmout, Wei Chen, Tong Zhao, Hao He, Yaohui Jin
2021 arXiv   pre-print
However, building such systems from scratch faces real word challenges from both imperfect product schema/knowledge and lack of training dialog data.In this work we first propose ConvSearch, an end-to-end  ...  conversational search system that deeply combines the dialog system with search.  ...  In this work, we built an end-to-end conversation search system for online shopping, where we deeply combined the dialog and search system with multi-task learning.  ... 
arXiv:2109.05460v1 fatcat:rjdwtipypnhp3bgjr2xqgtymlq

Robust Conversational AI with Grounded Text Generation [article]

Jianfeng Gao, Baolin Peng, Chunyuan Li, Jinchao Li, Shahin Shayandeh, Lars Liden, Heung-Yeung Shum
2020 arXiv   pre-print
responses grounded in dialog belief state and real-world knowledge for task completion.  ...  This article provides an overview of this progress and discusses related methods and technologies that can be incorporated for building robust conversational AI systems.  ...  Interactive Evaluation using ConvLab ConvLab [37, 89] is an open-source platform that supports researchers to train and evaluate their own dialog systems.  ... 
arXiv:2009.03457v1 fatcat:2462mlxn7fg3zgw5mwknoqngaa

DEUS: A Data-driven Approach to Estimate User Satisfaction in Multi-turn Dialogues [article]

Ziming Li and Dookun Park and Julia Kiseleva and Young-Bum Kim and Sungjin Lee
2021 arXiv   pre-print
Digital assistants are experiencing rapid growth due to their ability to assist users with day-to-day tasks where most dialogues are happening multi-turn.  ...  We demonstrate our method's effectiveness by extensive experimentation with a simulated dialogue platform and real multi-turn dialogues.  ...  rating the user profile information into the learning algorithm to personalize the estimated user satisfaction is a promising direction for future work.  ... 
arXiv:2103.01287v2 fatcat:fwun6vj7kjhg3j5v3xgomtms5m

How to Evaluate Your Dialogue Models: A Review of Approaches [article]

Xinmeng Li, Wansen Wu, Long Qin, Quanjun Yin
2021 arXiv   pre-print
Evaluating the quality of a dialogue system is an understudied problem.  ...  Finally, some open issues are pointed out to bring the evaluation method into a new frontier.  ...  Convlab 6 provides a platform for researchers to develop dialogue systems with various architectures or configurations.  ... 
arXiv:2108.01369v1 fatcat:ur5wmuy2rfdgnkntlh273z5l3e
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