Fetching the paper…
Reading the bibliography…
Information overloading requires the need for summarizers to extract salient information from the text.
Prakhar Ganesh and Saket Dingliwal. 2019 · 1902
Earlier work this paper cites.
Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi. 2019 · 1904
Earlier work this paper cites.
This email could save your life: Introducing the task of email subject line generation
Rui Zhang and Joel Tetreault. 2019 · 1906
Earlier work this paper cites.
Text summarization with pretrained encoders
Yang Liu and Mirella Lapata. 2019 · 1908
Earlier work this paper cites.
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov, and Luke Zettlemoyer. 2019 · 1910
Earlier work this paper cites.
Samsum corpus: A human-annotated dialogue dataset for abstractive summarization
Bogdan Gliwa, Iwona Mochol, Maciej Biesek, and Aleksander Wawer. 2019 · 1911
Earlier work this paper cites.
Automatic dialogue summary generation for customer service
Chunyi Liu, Peng Wang, Jiang Xu, Zang Li, and Jieping Ye. 2019 · 1965
Earlier work this paper cites.
A statistical interpretation of term specificity and its application in retrieval
Karen Sparck Jones. 1972 · 1972
Earlier work this paper cites.
The use of mmr, diversity-based reranking for reordering documents and producing summaries
Jaime Carbonell and Jade Goldstein. 1998 · 1998
Earlier work this paper cites.
Biological sequence analysis: probabilistic models of proteins and nucleic acids
Richard Durbin, Sean R Eddy, Anders Krogh, and Graeme Mitchison. 1998 · 1998
Earlier work this paper cites.
Combining linguistic and machine learning techniques for email summarization
Smaranda Muresan, Evelyne Tzoukermann, and Judith L Klavans. 2001 · 2001
Earlier work this paper cites.
Spot: A trainable sentence planner
Marilyn Walker, Owen Rambow, and Monica Rogati. 2001 · 2001
Earlier work this paper cites.
From single to multi-document summarization
Chin-Yew Lin and Eduard Hovy. 2002 · 2002
Earlier work this paper cites.
Discourse segmentation of multi-party conversation
Michel Galley, Kathleen McKeown, Eric Fosler-Lussier, and Hongyan Jing. 2003 · 2003
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.
Summarizing archived discussions: a beginning
Paula S Newman and John C Blitzer. 2003 · 2003
Earlier work this paper cites.
Longformer: The long-document transformer
Iz Beltagy, Matthew E Peters, and Arman Cohan. 2020 · 2004
Earlier work this paper cites.
Tldr: Extreme summarization of scientific documents
Isabel Cachola, Kyle Lo, Arman Cohan, and Daniel S Weld. 2020 · 2004
Earlier work this paper cites.
Lexrank: Graph-based lexical centrality as salience in text summarization
Günes Erkan and Dragomir R Radev. 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.
Textrank: Bringing order into text
Rada Mihalcea and Paul Tarau. 2004 · 2004
Earlier work this paper cites.
Summarizing email threads
Owen C Rambow, Lokesh Shrestha, John Chen, and Chirsty Lauridsen. 2004 · 2004
Earlier work this paper cites.
A hierarchical network for abstractive meeting summarization with cross-domain pretraining
Chenguang Zhu, Ruochen Xu, Michael Zeng, and Xuedong Huang. 2020 · 2004
Earlier work this paper cites.
The ami meeting corpus: A pre-announcement
Jean Carletta, Simone Ashby, Sebastien Bourban, Mike Flynn, Mael Guillemot, Thomas Hain, Jaroslav Kadlec, Vasilis Karaiskos, Wessel Kraaij, Melissa Kronenthal, et al. 2005 · 2005
Earlier work this paper cites.
Automated text summarization
Eduard Hovy and Daniel Marcu. 2005 · 2005
Earlier work this paper cites.
Extractive summarization of meeting recordings
Gabriel Murray, Steve Renals, and Jean Carletta. 2005 · 2005
Earlier work this paper cites.
Corpus-based and knowledge-based measures of text semantic similarity
Rada Mihalcea, Courtney Corley, Carlo Strapparava, et al. 2006 · 2006
Earlier work this paper cites.
A study of global inference algorithms in multi-document summarization
Ryan McDonald. 2007 · 2007
Earlier work this paper cites.
Crfsuite: a fast implementation of conditional random fields (crfs)
Naoaki Okazaki. 2007 · 2007
Earlier work this paper cites.
Bayesian unsupervised topic segmentation
Jacob Eisenstein and Regina Barzilay. 2008 · 2008
Earlier work this paper cites.
A keyphrase based approach to interactive meeting summarization
Korbinian Riedhammer, Benoit Favre, and Dilek Hakkani-Tur. 2008 · 2008
Earlier work this paper cites.
Using corpus and knowledge-based similarity measure in maximum marginal relevance for meeting summarization
Shasha Xie and Yang Liu. 2008 · 2008
Cited alongside, same era.
Evaluating the effectiveness of features and sampling in extractive meeting summarization
Shasha Xie, Yang Liu, and Hui Lin. 2008 · 2008
Cited alongside, same era.
Clusterrank: a graph based method for meeting summarization
Nikhil Garg, Benoit Favre, Korbinian Reidhammer, and Dilek Hakkani Tür. 2009 · 2009
Cited alongside, same era.
A global optimization framework for meeting summarization
Dan Gillick, Korbinian Riedhammer, Benoit Favre, and Dilek Hakkani-Tur. 2009 · 2009
Cited alongside, same era.
Graph-based submodular selection for extractive summarization
Hui Lin, Jeff Bilmes, and Shasha Xie. 2009 · 2009
Cited alongside, same era.
The probabilistic relevance framework: BM25 and beyond
Leveraging contextual sentence relations for extractive summarization using a neural attention model
Pengjie Ren, Zhumin Chen, Zhaochun Ren, Furu Wei, Jun Ma, and Maarten de Rijke. 2017 · 2017
Later among the works it cites.
Get to the point: Summarization with pointer-generator networks
Abigail See, Peter J Liu, and Christopher D Manning. 2017 · 2017
Later among the works it cites.
Automatic community creation for abstractive spoken conversations summarization
Karan Singla, Evgeny Stepanov, Ali Orkan Bayer, Giuseppe Carenini, and Giuseppe Riccardi. 2017 · 2017
Later among the works it cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Later among the works it cites.
Abstractive dialogue summarization with sentence-gated modeling optimized by dialogue acts
Chih-Wen Goo and Yun-Nung Chen. 2018 · 2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Stephen Robertson and Hugo Zaragoza. 2009 · 2009
Cited alongside, same era.
Jiaao Chen and Diyi Yang. 2020 · 2010
Cited alongside, same era.
Xiachong Feng, Xiaocheng Feng, Bing Qin, and Ting Liu. 2020b · 2010
Cited alongside, same era.
Multi-sentence compression: Finding shortest paths in word graphs
Katja Filippova. 2010 · 2010
Cited alongside, same era.
Good question! statistical ranking for question generation
Michael Heilman and Noah A Smith. 2010 · 2010
Cited alongside, same era.
Exploring speaker characteristics for meeting summarization
Fei Liu and Yang Liu. 2010 · 2010
Cited alongside, same era.
Generating and validating abstracts of meeting conversations: a user study
Gabriel Murray, Giuseppe Carenini, and Raymond Ng. 2010 · 2010
Cited alongside, same era.
Shashi Narayan, Shay B Cohen, and Mirella Lapata. 2018 · 2018
Later among the works it cites.
Fusing verbal and nonverbal information for extractive meeting summarization
Fumio Nihei, Yukiko I Nakano, and Yutaka Takase. 2018 · 2018
Later among the works it cites.
Guokan Shang, Wensi Ding, Zekun Zhang, Antoine Jean-Pierre Tixier, Polykarpos Meladianos, Michalis Vazirgiannis, and Jean-Pierre Lorré. 2018 · 2018
Later among the works it cites.
Collabot: Personalized group chat summarization
Naama Tepper, Anat Hashavit, Maya Barnea, Inbal Ronen, and Lior Leiba. 2018 · 2018
Later among the works it cites.
Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al. 2019 · 2019
Later among the works it cites.
Scisummnet: A large annotated corpus and content-impact models for scientific paper summarization with citation networks
Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R Fabbri, Irene Li, Dan Friedman, and Dragomir R Radev. 2019 · 2019
Later among the works it cites.
Abstractive meeting summarization via hierarchical adaptive segmental network learning
Zhou Zhao, Haojie Pan, Changjie Fan, Yan Liu, Linlin Li, Min Yang, and Deng Cai. 2019 · 2019
Later among the works it cites.
BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
Later among the works it cites.
Smart to-do: Automatic generation of to-do items from emails
Sudipto Mukherjee, Subhabrata Mukherjee, Marcello Hasegawa, Ahmed Hassan Awadallah, and Ryen White. 2020 · 2020
Later among the works it cites.
Pegasus: Pre-training with extracted gap-sentences for abstractive summarization
Jingqing Zhang, Yao Zhao, Mohammad Saleh, and Peter Liu. 2020 · 2020
Later among the works it cites.
Improving abstractive dialogue summarization with graph structures and topic words
Lulu Zhao, Weiran Xu, and Jun Guo. 2020 · 2020
Later among the works it cites.
Retrievalsum: A retrieval enhanced framework for abstractive summarization
Chenxin An, Ming Zhong, Zhichao Geng, Jianqiang Yang, and Xipeng Qiu. 2021 · 2021
Later among the works it cites.
Context or no context? a preliminary exploration of human-in-the-loop approach for incremental temporal summarization in meetings
Nicole Beckage, Shachi H Kumar, Saurav Sahay, and Ramesh Manuvinakurike. 2021 · 2021
Later among the works it cites.
Automatic text summarization: A comprehensive survey
Wafaa S El-Kassas, Cherif R Salama, Ahmed A Rafea, and Hoda K Mohamed. 2021 · 2021
Later among the works it cites.
Alexander R Fabbri, Faiaz Rahman, Imad Rizvi, Borui Wang, Haoran Li, Yashar Mehdad, and Dragomir Radev. 2021 · 2021
Later among the works it cites.
A survey on dialogue summarization: Recent advances and new frontiers
Xiachong Feng, Xiaocheng Feng, and Bing Qin. 2021 · 2021
Later among the works it cites.
Summary grounded conversation generation
Chulaka Gunasekara, Guy Feigenblat, Benjamin Sznajder, Sachindra Joshi, and David Konopnicki. 2021 · 2021
Later among the works it cites.
A sliding-window approach to automatic creation of meeting minutes
Jia Jin Koay, Alexander Roustai, Xiaojin Dai, and Fei Liu. 2021 · 2021
Later among the works it cites.
Capturing speaker incorrectness: Speaker-focused post-correction for abstractive dialogue summarization
Dongyub Lee, Jungwoo Lim, Taesun Whang, Chanhee Lee, Seungwoo Cho, Mingun Park, and Heui-Seok Lim. 2021 · 2021
Later among the works it cites.
Planning with learned entity prompts for abstractive summarization
Shashi Narayan, Yao Zhao, Joshua Maynez, Gonçalo Simoes, Vitaly Nikolaev, and Ryan McDonald. 2021 · 2021
Later among the works it cites.
Hierarchical learning for generation with long source sequences
Tobias Rohde, Xiaoxia Wu, and Yinhan Liu. 2021 · 2021
Later among the works it cites.
Exploring neural models for query-focused summarization
Jesse Vig, Alexander R Fabbri, and Wojciech Kryściński. 2021 · 2021
Later among the works it cites.
Controllable abstractive dialogue summarization with sketch supervision
Chien-Sheng Wu, Linqing Liu, Wenhao Liu, Pontus Stenetorp, and Caiming Xiong. 2021 · 2021
Later among the works it cites.
Todsum: Task-oriented dialogue summarization with state tracking
Lulu Zhao, Fujia Zheng, Keqing He, Weihao Zeng, Yuejie Lei, Huixing Jiang, Wei Wu, Weiran Xu, Jun Guo, and Fanyu Meng. 2021 · 2021
Later among the works it cites.
Mediasum: A large-scale media interview dataset for dialogue summarization
Chenguang Zhu, Yang Liu, Jie Mei, and Michael Zeng. 2021 · 2021
Later among the works it cites.