Fetching the paper…
Reading the bibliography…
Dialogue summarization has drawn much attention recently.
Manual and automatic evaluation of summaries
Chin-Yew Lin and Eduard Hovy. 2002 · 2002
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.
The icsi meeting corpus
Adam Janin, Don Baron, Jane Edwards, Dan Ellis, David Gelbart, Nelson Morgan, Barbara Peskin, Thilo Pfau, Elizabeth Shriberg, Andreas Stolcke, et al. 2003 · 2003
Earlier work this paper cites.
LexPageRank: Prestige in multi-document text summarization
Güneş Erkan and Dragomir R. Radev. 2004 · 2004
Earlier work this paper cites.
Overview of duc 2005
Hoa Trang Dang. 2005 · 2005
Earlier work this paper cites.
The ami meeting corpus
I McCowan, J Carletta, W Kraaij, S Ashby, S Bourban, M Flynn, M Guillemot, T Hain, J Kadlec, V Karaiskos, et al. 2005 · 2005
Earlier work this paper cites.
Overview of the tac 2008 update summarization task
Hoa Trang Dang and Karolina Owczarzak. 2008 · 2008
Earlier work this paper cites.
ISO 24617-2: A semantically-based standard for dialogue annotation
Harry Bunt, Jan Alexandersson, Jae-Woong Choe, Alex Chengyu Fang, Koiti Hasida, Volha Petukhova, Andrei Popescu-Belis, and David Traum. 2012 · 2012
Earlier work this paper cites.
Abstractive text summarization using sequence-to-sequence RNNs and beyond
Ramesh Nallapati, Bowen Zhou, Cicero dos Santos, Çağlar Gu̇lçehre, and Bing Xiang. 2016 · 2016
Earlier work this paper cites.
Summarunner: A recurrent neural network based sequence model for extractive summarization of documents
Ramesh Nallapati, Feifei Zhai, and Bowen Zhou. 2017 · 2017
Earlier work this paper cites.
Get to the point: Summarization with pointer-generator networks
Abigail See, Peter J. Liu, and Christopher D. Manning. 2017 · 2017
Earlier work this paper cites.
Rethinking the agreement in human evaluation tasks
Jacopo Amidei, Paul Piwek, and Alistair Willis. 2018 · 2018
Earlier work this paper cites.
Fast abstractive summarization with reinforce-selected sentence rewriting
Yen-Chun Chen and Mohit Bansal. 2018 · 2018
Cited alongside, same era.
A dataset of peer reviews (PeerRead): Collection, insights and NLP applications
Dongyeop Kang, Waleed Ammar, Bhavana Dalvi, Madeleine van Zuylen, Sebastian Kohlmeier, Eduard Hovy, and Roy Schwartz. 2018 · 2018
Cited alongside, same era.
Generating wikipedia by summarizing long sequences
Peter J. Liu, Mohammad Saleh, Etienne Pot, Ben Goodrich, Ryan Sepassi, Lukasz Kaiser, and Noam Shazeer. 2018 · 2018
Cited alongside, same era.
Don’t give me the details, just the summary! topic-aware convolutional neural networks for extreme summarization
Shashi Narayan, Shay B. Cohen, and Mirella Lapata. 2018 · 2018
Cited alongside, same era.
Augmenting neural sentence summarization through extractive summarization
Junnan Zhu, Long Zhou, Haoran Li, Jiajun Zhang, Yu Zhou, and Chengqing Zong. 2018 · 2018
Cited alongside, same era.
Disentangling the properties of human evaluation methods: A classification system to support comparability, meta-evaluation and reproducibility testing
Anya Belz, Simon Mille, and David M. Howcroft. 2020 · 2020
Later among the works it cites.
The JDDC corpus: A large-scale multi-turn Chinese dialogue dataset for E-commerce customer service
Meng Chen, Ruixue Liu, Lei Shen, Shaozu Yuan, Jingyan Zhou, Youzheng Wu, Xiaodong He, and Bowen Zhou. 2020 · 2020
Later among the works it cites.
Twenty years of confusion in human evaluation: NLG needs evaluation sheets and standardised definitions
David M. Howcroft, Anya Belz, Miruna-Adriana Clinciu, Dimitra Gkatzia, Sadid A. Hasan, Saad Mahamood, Simon Mille, Emiel van Miltenburg, Sashank Santhanam, and Verena Rieser. 2020 · 2020
Later among the works it cites.
Dr. summarize: Global summarization of medical dialogue by exploiting local structures
Anirudh Joshi, Namit Katariya, Xavier Amatriain, and Anitha Kannan. 2020 · 2020
Later among the works it cites.
Storytelling with dialogue: A Critical Role Dungeons and Dragons Dataset
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Cited alongside, same era.
Legal summarization for multi-role debate dialogue via controversy focus mining and multi-task learning
Xinyu Duan, Yating Zhang, Lin Yuan, Xin Zhou, Xiaozhong Liu, Tianyi Wang, Ruocheng Wang, Qiong Zhang, Changlong Sun, and Fei Wu. 2019 · 2019
Cited alongside, same era.
SAMSum corpus: A human-annotated dialogue dataset for abstractive summarization
Bogdan Gliwa, Iwona Mochol, Maciej Biesek, and Aleksander Wawer. 2019 · 2019
Cited alongside, same era.
Text summarization with pretrained encoders
Yang Liu and Mirella Lapata. 2019 · 2019
Cited alongside, same era.
MoverScore: Text generation evaluating with contextualized embeddings and earth mover distance
Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, and Steffen Eger. 2019 · 2019
Cited alongside, same era.
NCLS: Neural cross-lingual summarization
Junnan Zhu, Qian Wang, Yining Wang, Yu Zhou, Jiajun Zhang, Shaonan Wang, and Chengqing Zong. 2019 · 2019
Cited alongside, same era.
Unsupervised summarization for chat logs with topic-oriented ranking and context-aware auto-encoders
Yicheng Zou, Jun Lin, Lujun Zhao, Yangyang Kang, Zhuoren Jiang, Changlong Sun, Qi Zhang, Xuanjing Huang, and Xiaozhong Liu. 2021a
Cited in the paper.
Revanth Rameshkumar and Peter Bailey. 2020 · 2020
Later among the works it cites.
Summarizing medical conversations via identifying important utterances
Yan Song, Yuanhe Tian, Nan Wang, and Fei Xia. 2020 · 2020
Later among the works it cites.
Bertscore: Evaluating text generation with BERT
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, and Yoav Artzi. 2020 · 2020
Later among the works it cites.
SummEval: Re-evaluating Summarization Evaluation
Alexander R. Fabbri, Wojciech Kryściński, Bryan McCann, Caiming Xiong, Richard Socher, and Dragomir Radev. 2021 · 2021
Closest in time.
QMSum: A new benchmark for query-based multi-domain meeting summarization
Ming Zhong, Da Yin, Tao Yu, Ahmad Zaidi, Mutethia Mutuma, Rahul Jha, Ahmed Hassan Awadallah, Asli Celikyilmaz, Yang Liu, Xipeng Qiu, and Dragomir Radev. 2021 · 2021
Closest in time.
MediaSum: A large-scale media interview dataset for dialogue summarization
Chenguang Zhu, Yang Liu, Jie Mei, and Michael Zeng. 2021 · 2021
Closest in time.
Text Data Mining
Chengqing Zong, Rui Xia, and Jiajun Zhang. 2021 · 2021
Closest in time.