Fetching the paper…
Reading the bibliography…
To address the data scarcity issue in Conversational question answering (ConvQA), a dialog inpainting method, which utilizes documents to generate ConvQA datasets, has been proposed.
Recent advances in neural question generation
Liangming Pan, Wenqiang Lei, Tat-Seng Chua, and Min-Yen Kan. 2019 · 1905
Earlier work this paper cites.
Investigating evaluation of open-domain dialogue systems with human generated multiple references
Prakhar Gupta, Shikib Mehri, Tiancheng Zhao, Amy Pavel, Maxine Eskenazi, and Jeffrey P Bigham. 2019 · 1907
Earlier work this paper cites.
Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
Earlier work this paper cites.
Sentence-bert: Sentence embeddings using siamese bert-networks
Nils Reimers and Iryna Gurevych. 2019 · 1908
Earlier work this paper cites.
Taskmaster-1: Toward a realistic and diverse dialog dataset
Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, Arvind Neelakantan, Daniel Duckworth, Semih Yavuz, Ben Goodrich, Amit Dubey, Andy Cedilnik, and Kyu-Young Kim. 2019 · 1909
Earlier work this paper cites.
An application of hierarchical kappa-type statistics in the assessment of majority agreement among multiple observers
J Richard Landis and Gary G Koch. 1977 · 1977
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 · 2002
Earlier work this paper cites.
Specter: Document-level representation learning using citation-informed transformers
Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey, and Daniel S Weld. 2020 · 2004
Earlier work this paper cites.
The study of the application of a web-based chatbot system on the teaching of foreign languages
Jiyou Jia. 2004 · 2004
Earlier work this paper cites.
Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
Earlier work this paper cites.
Information-seeking chat: Dialogues driven by topic-structure
Manfred Stede and David Schlangen. 2004 · 2004
Earlier work this paper cites.
Fact or fiction: Verifying scientific claims
David Wadden, Shanchuan Lin, Kyle Lo, Lucy Lu Wang, Madeleine van Zuylen, Arman Cohan, and Hannaneh Hajishirzi. 2020 · 2004
Earlier work this paper cites.
Usr: An unsupervised and reference free evaluation metric for dialog generation
Shikib Mehri and Maxine Eskenazi. 2020 · 2005
Earlier work this paper cites.
Daniel Kershaw and Rob Koeling. 2020 · 2008
Earlier work this paper cites.
Dialogue response ranking training with large-scale human feedback data
Xiang Gao, Yizhe Zhang, Michel Galley, Chris Brockett, and Bill Dolan. 2020 · 2009
Earlier work this paper cites.
Open-domain question answering goes conversational via question rewriting
Raviteja Anantha, Svitlana Vakulenko, Zhucheng Tu, Shayne Longpre, Stephen Pulman, and Srinivas Chappidi. 2020 · 2010
Earlier work this paper cites.
Grade: Automatic graph-enhanced coherence metric for evaluating open-domain dialogue systems
Lishan Huang, Zheng Ye, Jinghui Qin, Liang Lin, and Xiaodan Liang. 2020a · 2010
Earlier work this paper cites.
Question generation from concept maps
Andrew M Olney, Arthur C Graesser, and Natalie K Person. 2012 · 2012
Earlier work this paper cites.
Toward the implementation of a topic specific dialogue based natural language chatbot as an undergraduate advisor
Supratip Ghose and Jagat Joyti Barua. 2013 · 2013
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
Cited alongside, same era.
The ubuntu dialogue corpus: A large dataset for research in unstructured multi-turn dialogue systems
Ryan Lowe, Nissan Pow, Iulian Serban, and Joelle Pineau. 2015 · 2015
Cited alongside, same era.
A full-text learning to rank dataset for medical information retrieval
Vera Boteva, Demian Gholipour, Artem Sokolov, and Stefan Riezler. 2016 · 2016
Cited alongside, same era.
Towards holistic and automatic evaluation of open-domain dialogue generation
Bo Pang, Erik Nijkamp, Wenjuan Han, Linqi Zhou, Yixian Liu, Kewei Tu, et al. 2020 · 2020
Later among the works it cites.
Open-retrieval conversational question answering
Chen Qu, Liu Yang, Cen Chen, Minghui Qiu, W Bruce Croft, and Mohit Iyyer. 2020 · 2020
Later among the works it cites.
Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu. 2020 · 2020
Later among the works it cites.
Controllable open-ended question generation with a new question type ontology
Shuyang Cao and Lu Wang. 2021 · 2021
Later among the works it cites.
Measuring conversational uptake: A case study on student-teacher interactions
Dorottya Demszky, Jing Liu, Zid Mancenido, Julie Cohen, Heather Hill, Dan Jurafsky, and Tatsunori Hashimoto. 2021 · 2021
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Chia-Wei Liu, Ryan Lowe, Iulian V Serban, Michael Noseworthy, Laurent Charlin, and Joelle Pineau. 2016 · 2016
Cited alongside, same era.
Ms marco: A human generated machine reading comprehension dataset
Tri Nguyen, Mir Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder, and Li Deng. 2016 · 2016
Cited alongside, same era.
news-please: A generic news crawler and extractor
Felix Hamborg, Norman Meuschke, Corinna Breitinger, and Bela Gipp. 2017 · 2017
Cited alongside, same era.
Ir evaluation methods for retrieving highly relevant documents
Kalervo Järvelin and Jaana Kekäläinen. 2017 · 2017
Cited alongside, same era.
Dailydialog: A manually labelled multi-turn dialogue dataset
Yanran Li, Hui Su, Xiaoyu Shen, Wenjie Li, Ziqiang Cao, and Shuzi Niu. 2017 · 2017
Cited alongside, same era.
Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter. 2017 · 2017
Cited alongside, same era.
Towards an automatic turing test: Learning to evaluate dialogue responses
Ryan Lowe, Michael Noseworthy, Iulian V Serban, Nicolas Angelard-Gontier, Yoshua Bengio, and Joelle Pineau. 2017 · 2017
Cited alongside, same era.
Tiancheng Zhao, Ran Zhao, and Maxine Eskenazi. 2017 · 2017
Cited alongside, same era.
Later among the works it cites.
Towards standard criteria for human evaluation of chatbots: A survey
Hongru Liang and Huaqing Li. 2021 · 2021
Later among the works it cites.
Dynaeval: Unifying turn and dialogue level evaluation
Chen Zhang, Yiming Chen, Luis Fernando D’Haro, Yan Zhang, Thomas Friedrichs, Grandee Lee, and Haizhou Li. 2021 · 2021
Later among the works it cites.
Retrieving and reading: A comprehensive survey on open-domain question answering
Fengbin Zhu, Wenqiang Lei, Chao Wang, Jianming Zheng, Soujanya Poria, and Tat-Seng Chua. 2021 · 2021
Later among the works it cites.
Dialog inpainting: Turning documents into dialogs
Zhuyun Dai, Arun Tejasvi Chaganty, Vincent Y Zhao, Aida Amini, Qazi Mamunur Rashid, Mike Green, and Kelvin Guu. 2022 · 2022
Later among the works it cites.
Question generation for reading comprehension assessment by modeling how and what to ask
Bilal Ghanem, Lauren Lutz Coleman, Julia Rivard Dexter, Spencer McIntosh von der Ohe, and Alona Fyshe. 2022 · 2022
Later among the works it cites.
Rquge: Reference-free metric for evaluating question generation by answering the question
Alireza Mohammadshahi, Thomas Scialom, Majid Yazdani, Pouya Yanki, Angela Fan, James Henderson, and Marzieh Saeidi. 2022 · 2022
Later among the works it cites.
Keyword extraction from short texts with a text-to-text transfer transformer
Piotr Pęzik, Agnieszka Mikołajczyk, Adam Wawrzyński, Bartłomiej Nitoń, and Maciej Ogrodniczuk. 2022 · 2022
Later among the works it cites.
Xiaoqiang Wang, Bang Liu, Siliang Tang, and Lingfei Wu. 2022 · 2022
Later among the works it cites.
Conversational question answering: A survey
Munazza Zaib, Wei Emma Zhang, Quan Z Sheng, Adnan Mahmood, and Yang Zhang. 2022 · 2022
Later among the works it cites.
Can large language models be an alternative to human evaluations?
Cheng-Han Chiang and Hung-yi Lee. 2023 · 2023
Closest in time.
Gpteval: Nlg evaluation using gpt-4 with better human alignment
Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, and Chenguang Zhu. 2023 · 2023
Closest in time.
Recent advances in deep learning based dialogue systems: A systematic survey
Jinjie Ni, Tom Young, Vlad Pandelea, Fuzhao Xue, and Erik Cambria. 2023 · 2023
Closest in time.
History, present and future: Enhancing dialogue generation with few-shot history-future prompt
Yihe Wang, Yitong Li, Yasheng Wang, Fei Mi, Pingyi Zhou, Jin Liu, Xin Jiang, and Qun Liu. 2023b · 2023
Closest in time.