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Previous dialogue summarization datasets mainly focus on open-domain chitchat dialogues, while summarization datasets for the broadly used task-oriented dialogue haven't been explored yet.
Transferable multi-domain state generator for task-oriented dialogue systems
Wu, C.-S.; Madotto, A.; Hosseini-Asl, E.; Xiong, C.; Socher, R.; and Fung, P. 2019 · 1905
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Abstractive Dialog Summarization with Semantic Scaffolds
Yuan, L.; and Yu, Z. 2019 · 1910
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SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization
Gliwa, B.; Mochol, I.; Biesek, M.; and Wawer, A. 2019 · 1911
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PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
Zhang, J.; Zhao, Y.; Saleh, M.; and Liu, P. J. 2020a · 1912
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Few-shot natural language generation for task-oriented dialog
Peng, B.; Zhu, C.; Li, C.; Li, X.; Li, J.; Zeng, M.; and Gao, J. 2020 · 2002
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Introduction to the Special Issue on Summarization
Radev, D. R.; Hovy, E.; and McKeown, K. 2002 · 2002
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The ICSI Meeting Corpus
Janin, A.; Baron, D.; Edwards, J.; Ellis, D.; Gelbart, D.; Morgan, N.; Peskin, B.; Pfau, T.; Shriberg, E.; Stolcke, A.; and Wooters, C. 2003 · 2003
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Recent Advances and Challenges in Task-oriented Dialog System
Zhang, Z.; Takanobu, R.; Huang, M.; and Zhu, X. 2020c · 2003
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Automatic Evaluation of Machine Translation Quality Using Longest Common Subsequence and Skip-Bigram Statistics
Lin, C.-Y.; and Och, F. 2004 · 2004
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Dialogue State Tracking with Pretrained Encoder for Multi-domain Trask-oriented Dialogue Systems
Wang, D.; Lin, C.; Zhong, L.; and Wong, K.-F. 2020 · 2004
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The AMI Meeting Corpus: A Pre-announcement
Carletta, J.; Ashby, S.; Bourban, S.; Flynn, M.; Guillemot, M.; Hain, T.; Kadlec, J.; Karaiskos, V.; Kraaij, W.; Kronenthal, M.; Lathoud, G.; Lincoln, M.; Masson, A. L.; McCowan, I.; Post, W.; Reidsma, D.; and Wellner, P. 2005 · 2005
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Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling
Zou, Y.; Zhao, L.; Kang, Y.; Lin, J.; Peng, M.; Jiang, Z.; Sun, C.; Zhang, Q.; Huang, X.; and Liu, X. 2020 · 2012
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Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond
Nallapati, R.; Zhou, B.; Santos, C. D.; Çaglar Gülçehre; and Xiang, B. 2016 · 2016
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Faithful to the Original: Fact Aware Neural Abstractive Summarization
Cao, Z.; Wei, F.; Li, W.; and Li, S. 2017 · 2017
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Attention is All you Need
Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A. N.; Kaiser, L. u.; and Polosukhin, I. 2017 · 2017
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MultiWOZ–A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling
Budzianowski, P.; Wen, T.-H.; Tseng, B.-H.; Casanueva, I.; Ultes, S.; Ramadan, O.; and Gašić, M. 2018 · 2018
Cited alongside, same era.
Content Selection in Deep Learning Models of Summarization
Kedzie, C.; McKeown, K.; and Daumé, H. 2018 · 2018
Cited alongside, same era.
Ensure the Correctness of the Summary: Incorporate Entailment Knowledge into Abstractive Sentence Summarization
Li, H.; Zhu, J.; Zhang, J.; and Zong, C. 2018 · 2018
Cited alongside, same era.
CQASUMM: Building References for Community Question Answering Summarization Corpora
Chowdhury, T.; and Chakraborty, T. 2019 · 2019
Cited alongside, same era.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J.; Chang, M.-W.; Lee, K.; and Toutanova, K. 2019 · 2019
Cited alongside, same era.
FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization
Durmus, E.; He, H.; and Diab, M. 2020 · 2020
Later among the works it cites.
Learning to Tag OOV Tokens by Integrating Contextual Representation and Background Knowledge
He, K.; Yan, Y.; and Xu, W. 2020 · 2020
Later among the works it cites.
Challenges in Building Intelligent Open-domain Dialog Systems
Huang, M.; Zhu, X.; and Gao, J. 2020 · 2020
Later among the works it cites.
Evaluating the Factual Consistency of Abstractive Text Summarization
Kryscinski, W.; McCann, B.; Xiong, C.; and Socher, R. 2020 · 2020
Later among the works it cites.
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Lewis, M.; Liu, Y.; Goyal, N.; Ghazvininejad, M.; Mohamed, A.; Levy, O.; Stoyanov, V.; and Zettlemoyer, L. 2020 · 2020
Later among the works it cites.
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Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference
Falke, T.; Ribeiro, L. F. R.; Utama, P. A.; Dagan, I.; and Gurevych, I. 2019 · 2019
Cited alongside, same era.
Assessing The Factual Accuracy of Generated Text
Goodrich, B.; Rao, V.; Liu, P. J.; and Saleh, M. 2019 · 2019
Cited alongside, same era.
Text Generation from Knowledge Graphs with Graph Transformers
Koncel-Kedziorski, R.; Bekal, D.; Luan, Y.; Lapata, M.; and Hajishirzi, H. 2019 · 2019
Cited alongside, same era.
Automatic Dialogue Summary Generation for Customer Service
Liu, C.; Wang, P.; Xu, J.; Li, Z.; and Ye, J. 2019 · 2019
Cited alongside, same era.
Text Summarization with Pretrained Encoders
Liu, Y.; and Lapata, M. 2019 · 2019
Cited alongside, same era.
BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization
Sharma, E.; Li, C.; and Wang, L. 2019 · 2019
Cited alongside, same era.
Factual Error Correction for Abstractive Summarization Models
Cao, M.; Dong, Y.; Wu, J.; and Cheung, J. C. K. 2020 · 2020
Cited alongside, same era.
Asking and Answering Questions to Evaluate the Factual Consistency of Summaries
Wang, A.; Cho, K.; and Lewis, M. 2020 · 2020
Later among the works it cites.
Adversarial Semantic Decoupling for Recognizing Open-Vocabulary Slots
Yan, Y.; He, K.; Xu, H.; Liu, S.; Meng, F.; Hu, M.; and Xu, W. 2020 · 2020
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Structure-Aware Abstractive Conversation Summarization via Discourse and Action Graphs
Chen, J.; and Yang, D. 2021 · 2021
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DialogSum: A Real-Life Scenario Dialogue Summarization Dataset
Chen, Y.; Liu, Y.; Chen, L.; and Zhang, Y. 2021 · 2021
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GSum: A General Framework for Guided Neural Abstractive Summarization
Dou, Z.-Y.; Liu, P.; Hayashi, H.; Jiang, Z.; and Neubig, G. 2021 · 2021
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ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining
Fabbri, A. R.; Rahman, F.; Rizvi, I.; Wang, B.; Li, H.; Mehdad, Y.; and Radev, D. 2021 · 2021
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QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization
Zhong, M.; Yin, D.; Yu, T.; Zaidi, A.; Mutuma, M.; Jha, R.; Awadallah, A. H.; Çelikyilmaz, A.; Liu, Y.; Qiu, X.; and Radev, D. 2021 · 2021
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Enhancing Factual Consistency of Abstractive Summarization
Zhu, C.; Hinthorn, W.; Xu, R.; Zeng, Q.; Zeng, M.; Huang, X.; and Jiang, M. 2021a · 2021
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MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization
Zhu, C.; Liu, Y.; Mei, J.; and Zeng, M. 2021b · 2021
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