Human evaluation is becoming a necessity to test the performance of Chatbots.
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Recent advances in neural question generation
Liangming Pan, Wenqiang Lei, Tat-Seng Chua, and Min-Yen Kan · 1905
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What do we mean by fluency?
Francine Chambers · 1997
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Towards a human-like open-domain chatbot
Daniel Adiwardana, Minh-Thang Luong, David R. So, Jamie Hall, Noah Fiedel, Romal Thoppilan, Zi Yang, Apoorv Kulshreshtha, Gaurav Nemade, Yifeng Lu, and Quoc V. Le · 2001
Earlier work this paper cites.
Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu · 2002
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Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin · 2004
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Assessing reading fluency
Timothy V Rasinski · 2004
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Seamlessly unifying attributes and items: Conversational recommendation for cold-start users
Shijun Li, Wenqiang Lei, Qingyun Wu, Xiangnan He, Peng Jiang, and Tat-Seng Chua · 2005
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Teaching children to become fluent and automatic readers
Melanie R Kuhn, Paula J Schwanenflugel, Robin D Morris, Lesley Mandel Morrow, Deborah Gee Woo, Elizabeth B Meisinger, Rose A Sevcik, Barbara A Bradley, and Steven A Stahl · 2006
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Logic and Linguistics in the Twentieth Century , pages 775 – 847
Alessandro Lenci and Gabriel Sandu · 2009
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How not to evaluate your dialogue system: An empirical study of unsupervised evaluation metrics for dialogue response generation
Chia-Wei Liu, Ryan Lowe, Iulian Vlad Serban, Mike Noseworthy, Laurent Charlin, and Joelle Pineau · 2016
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Deep reinforcement learning for dialogue generation
Jiwei Li, Will Monroe, Alan Ritter, Dan Jurafsky, Michel Galley, and Jianfeng Gao · 2016
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A neural network approach for knowledge-driven response generation
Pavlos Vougiouklis, Jonathon Hare, and Elena Simperl · 2016
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A diversity-promoting objective function for neural conversation models
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and William B Dolan · 2016
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Multi-domain neural network language generation for spoken dialogue systems
Tsung-Hsien Wen, Milica Gasic, Nikola Mrkšić, Lina M Rojas Barahona, Pei-Hao Su, David Vandyke, and Steve Young · 2016
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Towards an automatic turing test: Learning to evaluate dialogue responses
Ryan Lowe, Michael Noseworthy, Iulian Vlad Serban, Nicolas Angelard-Gontier, Yoshua Bengio, and Joelle Pineau · 2017
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A conditional variational framework for dialog generation
Xiaoyu Shen, Hui Su, Yanran Li, Wenjie Li, Shuzi Niu, Yang Zhao, Akiko Aizawa, and Guoping Long · 2017
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Adversarial learning for neural dialogue generation
Jiwei Li, Will Monroe, Tianlin Shi, Sébastien Jean, Alan Ritter, and Dan Jurafsky · 2017
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Generating high-quality and informative conversation responses with sequence-to-sequence models
Yuanlong Shao, Stephan Gouws, Denny Britz, Anna Goldie, Brian Strope, and Ray Kurzweil · 2017
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Towards implicit content-introducing for generative short-text conversation systems
Lili Yao, Yaoyuan Zhang, Yansong Feng, Dongyan Zhao, and Rui Yan · 2017
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Neural response generation via gan with an approximate embedding layer
Zhen Xu, Bingquan Liu, Baoxun Wang, Cheng-Jie Sun, Xiaolong Wang, Zhuoran Wang, and Chao Qi · 2017
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Steering output style and topic in neural response generation
Di Wang, Nebojsa Jojic, Chris Brockett, and Eric Nyberg · 2017
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Sequicity: Simplifying task-oriented dialogue systems with single sequence-to-sequence architectures
Wenqiang Lei, Xisen Jin, Min-Yen Kan, Zhaochun Ren, Xiangnan He, and Dawei Yin · 2018
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Explicit state tracking with semi-supervisionfor neural dialogue generation
Xisen Jin, Wenqiang Lei, Zhaochun Ren, Hongshen Chen, Shangsong Liang, Yihong Zhao, and Dawei Yin · 2018
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Ruber: An unsupervised method for automatic evaluation of open-domain dialog systems
Chongyang Tao, Lili Mou, Dongyan Zhao, and Rui Yan · 2018
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Generating informative responses with controlled sentence function
Pei Ke, Jian Guan, Minlie Huang, and Xiaoyan Zhu · 2018
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Towards exploiting background knowledge for building conversation systems
Nikita Moghe, Siddhartha Arora, Suman Banerjee, and Mitesh M Khapra · 2018
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Generating more interesting responses in neural conversation models with distributional constraints
Ashutosh Baheti, Alan Ritter, Jiwei Li, and William B Dolan · 2018
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Variational autoregressive decoder for neural response generation
Jiachen Du, Wenjie Li, Yulan He, Ruifeng Xu, Lidong Bing, and Xuan Wang · 2018
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An auto-encoder matching model for learning utterance-level semantic dependency in dialogue generation
Liangchen Luo, Jingjing Xu, Junyang Lin, Qi Zeng, and Xu Sun · 2018
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A syntactically constrained bidirectional-asynchronous approach for emotional conversation generation
Jingyuan Li and Xiao Sun · 2018
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Towards less generic responses in neural conversation models: A statistical re-weighting method
Yahui Liu, Wei Bi, Jun Gao, Xiaojiang Liu, Jian Yao, and Shuming Shi · 2018
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S2spmn: A simple and effective framework for response generation with relevant information
Jiaxin Pei and Chenliang Li · 2018
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Nexus network: Connecting the preceding and the following in dialogue generation
Xiaoyu Shen, Hui Su, Wenjie Li, and Dietrich Klakow · 2018
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Memd: A diversity-promoting learning framework for short-text conversation
Meng Zou, Xihan Li, Haokun Liu, and Zhi-Hong Deng · 2018
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A prospective-performance network to alleviate myopia in beam search for response generation
Zongsheng Wang, Yunzhi Bai, Bowen Wu, Zhen Xu, Zhuoran Wang, and Baoxun Wang · 2018
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Lsdscc: a large scale domain-specific conversational corpus for response generation with diversity oriented evaluation metrics
Zhen Xu, Nan Jiang, Bingquan Liu, Wenge Rong, Bowen Wu, Baoxun Wang, Zhuoran Wang, and Xiaolong Wang · 2018
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Approximating interactive human evaluation with self-play for open-domain dialog systems
Asma Ghandeharioun, Judy Hanwen Shen, Natasha Jaques, Craig Ferguson, Noah Jones, Agata Lapedriza, and Rosalind Picard · 2019
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Are training samples correlated? learning to generate dialogue responses with multiple references
Lisong Qiu, Juntao Li, Wei Bi, Dongyan Zhao, and Rui Yan · 2019
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What makes a good conversation? how controllable attributes affect human judgments
Abigail See, Stephen Roller, Douwe Kiela, and Jason Weston · 2019
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Towards empathetic open-domain conversation models: A new benchmark and dataset
Hannah Rashkin, Eric Michael Smith, Margaret Li, and Y-Lan Boureau · 2019
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Personalizing dialogue agents via meta-learning
Andrea Madotto, Zhaojiang Lin, Chien-Sheng Wu, and Pascale Fung · 2019
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Proactive human-machine conversation with explicit conversation goal
Wenquan Wu, Zhen Guo, Xiangyang Zhou, Hua Wu, Xiyuan Zhang, Rongzhong Lian, and Haifeng Wang · 2019
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Incremental transformer with deliberation decoder for document grounded conversations
Zekang Li, Cheng Niu, Fandong Meng, Yang Feng, Qian Li, and Jie Zhou · 2019
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Augmenting neural response generation with context-aware topical attention
Nouha Dziri, Ehsan Kamalloo, Kory Mathewson, and Osmar R Zaiane · 2019
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Improving multi-turn dialogue modelling with utterance rewriter
Hui Su, Xiaoyu Shen, Rongzhi Zhang, Fei Sun, Pengwei Hu, Cheng Niu, and Jie Zhou · 2019
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Retrieval-enhanced adversarial training for neural response generation
Qingfu Zhu, Lei Cui, Weinan Zhang, Furu Wei, and Ting Liu · 2019
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Neural response generation with meta-words
Can Xu, Wei Wu, Chongyang Tao, Huang Hu, Matt Schuerman, and Ying Wang · 2019
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Learning to abstract for memory-augmented conversational response generation
Zhiliang Tian, Wei Bi, Xiaopeng Li, and Nevin L Zhang · 2019
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Know more about each other: Evolving dialogue strategy via compound assessment
Siqi Bao, Huang He, Fan Wang, Rongzhong Lian, and Hua Wu · 2019
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Cdl: Curriculum dual learning for emotion-controllable response generation
Lei Shen and Yang Feng · 2020
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Diversifying dialogue generation with non-conversational text
Hui Su, Xiaoyu Shen, Sanqiang Zhao, Zhou Xiao, Pengwei Hu, Cheng Niu, Jie Zhou, et al · 2020
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Towards holistic and automatic evaluation of open-domain dialogue generation
Bo Pang, Erik Nijkamp, Wenjuan Han, Linqi Zhou, Yixian Liu, and Kewei Tu · 2020
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Generate, delete and rewrite: A three-stage framework for improving persona consistency of dialogue generation
Haoyu Song, Yan Wang, Weinan Zhang, Xiaojiang Liu, and Ting Liu · 2020
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Learning to customize model structures for few-shot dialogue generation tasks
YIPING SONG, Zequn Liu, Wei Bi, Rui Yan, and Ming Zhang · 2020
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Speaker sensitive response evaluation model
JinYeong Bak and Alice Oh · 2020
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Generating informative conversational response using recurrent knowledge-interaction and knowledge-copy
Xiexiong Lin, Weiyu Jian, Jianshan He, Taifeng Wang, and Wei Chu · 2020
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Learning an unreferenced metric for online dialogue evaluation
Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L Hamilton, and Joelle Pineau · 2020
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Sketch-fill-ar: A persona-grounded chit-chat generation framework
Michael Shum, Stephan Zheng, Wojciech Kryscinski, Caiming Xiong, and Richard Socher · 2020
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ubleu: Uncertainty-aware automatic evaluation method for open-domain dialogue systems
Tsuta Yuma, Naoki Yoshinaga, and Masashi Toyoda · 2020
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Learning a simple and effective model for multi-turn response generation with auxiliary tasks
Yufan Zhao, Can Xu, and Wei Wu · 2020
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Knowledge-grounded dialogue generation with pre-trained language models
Xueliang Zhao, Wei Wu, Can Xu, Chongyang Tao, Dongyan Zhao, and Rui Yan · 2020
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Bridging the gap between prior and posterior knowledge selection for knowledge-grounded dialogue generation
Xiuyi Chen, Fandong Meng, Peng Li, Feilong Chen, Shuang Xu, Bo Xu, and Jie Zhou · 2020
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Cross copy network for dialogue generation
Changzhen Ji, Xin Zhou, Yating Zhang, Xiaozhong Liu, Changlong Sun, Conghui Zhu, and Tiejun Zhao · 2020
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Human-centric dialog training via offline reinforcement learning
Natasha Jaques, Judy Hanwen Shen, Asma Ghandeharioun, Craig Ferguson, Agata Lapedriza, Noah Jones, Shixiang Gu, and Rosalind Picard · 2020
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Spot the bot: A robust and efficient framework for the evaluation of conversational dialogue systems
Jan Milan Deriu, Don Tuggener, Pius von Däniken, Jon Ander Campos, Álvaro Rodrigo, Thiziri Belkacem, Aitor Soroa, Eneko Agirre, and Mark Cieliebak · 2020
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Improving knowledge-aware dialogue response generation by using human-written prototype dialogues
Sixing Wu, Ying Li, Dawei Zhang, and Zhonghai Wu · 2020
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Generating dialogue responses from a semantic latent space
Wei-Jen Ko, Avik Ray, Yilin Shen, and Hongxia Jin · 2020
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Regularizing dialogue generation by imitating implicit scenarios
Shaoxiong Feng, Xuancheng Ren, Hongshen Chen, Bin Sun, Kan Li, and Xu Sun · 2020
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Will i sound like me? improving persona consistency in dialogues through pragmatic self-consciousness
Hyunwoo Kim, Byeongchang Kim, and Gunhee Kim · 2020
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Group-wise contrastive learning for neural dialogue generation
Hengyi Cai, Hongshen Chen, Yonghao Song, Zhuoye Ding, Yongjun Bao, Weipeng Yan, and Xiaofang Zhao · 2020
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Styledgpt: Stylized response generation with pre-trained language models
Ze Yang, Wei Wu, Can Xu, Xinnian Liang, Jiaqi Bai, Liran Wang, Wei Wang, and Zhoujun Li · 2020
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Tsdg: Content-aware neural response generation with two-stage decoding process
Junsheng Kong, Zhicheng Zhong, Yi Cai, Xin Wu, and Da Ren · 2020
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Consistent response generation with controlled specificity
Junya Takayama and Yuki Arase · 2020
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Focus-constrained attention mechanism for cvae-based response generation
Zhi Cui, Yanran Li, Jiayi Zhang, Jianwei Cui, Chen Wei, and Bin Wang · 2020
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Learning to plan and realize separately for open-ended dialogue systems
Sashank Santhanam, Zhuo Cheng, Brodie Mather, Bonnie Dorr, Archna Bhatia, Bryanna Hebenstreit, Alan Zemel, Adam Dalton, Tomek Strzalkowski, and Samira Shaikh · 2020
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Diverse dialogue generation with context dependent dynamic loss function
Ayaka Ueyama and Yoshinobu Kano · 2020
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Deconstruct to reconstruct a configurable evaluation metric for open-domain dialogue systems
Vitou Phy, Yang Zhao, and Akiko Aizawa · 2020
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Towards unified dialogue system evaluation: A comprehensive analysis of current evaluation protocols
Sarah E Finch and Jinho D Choi · 2020
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Learning from mistakes: Combining ontologies via self-training for dialogue generation
Lena Reed, Vrindavan Harrison, Shereen Oraby, Dilek Hakkani-Tur, and Marilyn Walker · 2020
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Semantic guidance of dialogue generation with reinforcement learning
Cheng-Hsun Hsueh and Wei-Yun Ma · 2020
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Policy-driven neural response generation for knowledge-grounded dialog systems
Behnam Hedayatnia, Karthik Gopalakrishnan, Seokhwan Kim, Yang Liu, Mihail Eric, and Dilek Hakkani-Tur · 2020
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Advances and challenges in conversational recommender systems: A survey
Chongming Gao, Wenqiang Lei, Xiangnan He, Maarten de Rijke, and Tat-Seng Chua · 2021
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Have we solved the hard problem? it’s not easy! contextual lexical contrast as a means to probe neural coherence
Wenqiang Lei, Yisong Miao, Runpeng Xie, Bonnie Webber, Meichun Liu, Tat-Seng Chua, and Nancy F Chen · 2021
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Dialog generation using multi-turn reasoning neural networks
Xianchao Wu, Ander Martinez, and Momo Klyen · 2059
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Interactive path reasoning on graph for conversational recommendation
Wenqiang Lei, Gangyi Zhang, Xiangnan He, Yisong Miao, Xiang Wang, Liang Chen, and Tat-Seng Chua · 2083
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