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For text summarization, the role of discourse structure is pivotal in discerning the core content of a text.
Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi. 2019 · 1904
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From discourse structures to text summaries
Daniel Marcu. 1997 · 1997
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Improving summarization through rhetorical parsing tuning
Daniel Marcu. 1998 · 1998
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Discourse trees are good indicators of importance in text
Daniel Marcu. 1999 · 1999
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Longformer: The long-document transformer
Iz Beltagy, Matthew E Peters, and Arman Cohan. 2020 · 2004
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ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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METEOR: An automatic metric for MT evaluation with improved correlation with human judgments
Satanjeev Banerjee and Alon Lavie. 2005 · 2005
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Discourse indicators for content selection in summarization
Annie Louis, Aravind Joshi, and Ani Nenkova. 2010 · 2010
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Single document summarization based on nested tree structure
Yuta Kikuchi, Tsutomu Hirao, Hiroya Takamura, Manabu Okumura, and Masaaki Nagata. 2014 · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Synthetic and natural noise both break neural machine translation
Yonatan Belinkov and Yonatan Bisk. 2018 · 2018
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A discourse-aware attention model for abstractive summarization of long documents
Arman Cohan, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Seokhwan Kim, Walter Chang, and Nazli Goharian. 2018 · 2018
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Improving abstraction in text summarization
Wojciech Kryściński, Romain Paulus, Caiming Xiong, and Richard Socher. 2018 · 2018
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Adafactor: Adaptive learning rates with sublinear memory cost
Noam Shazeer and Mitchell Stern. 2018 · 2018
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Open sesame: Getting inside BERT’s linguistic knowledge
Yongjie Lin, Yi Chern Tan, and Robert Frank. 2019 · 2019
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Single document summarization as tree induction
Yang Liu, Ivan Titov, and Mirella Lapata. 2019 · 2019
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Analyzing the structure of attention in a transformer language model
Jesse Vig and Yonatan Belinkov. 2019 · 2019
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Neural extractive text summarization with syntactic compression
Jiacheng Xu and Greg Durrett. 2019 · 2019
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Discourse structure interacts with reference but not syntax in neural language models
Forrest Davis and Marten van Schijndel. 2020 · 2020
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What bert is not: Lessons from a new suite of psycholinguistic diagnostics for language models
Allyson Ettinger. 2020 · 2020
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Composing elementary discourse units in abstractive summarization
Zhenwen Li, Wenhao Wu, and Sujian Li. 2020 · 2020
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Multilingual neural RST discourse parsing
Zhengyuan Liu, Ke Shi, and Nancy Chen. 2020 · 2020
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Linguistic profiling of a neural language model
Alessio Miaschi, Dominique Brunato, Felice Dell’Orletta, and Giulia Venturi. 2020 · 2020
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MLSUM: The multilingual summarization corpus
Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, and Jacopo Staiano. 2020 · 2020
Cited alongside, same era.
Do we really need that many parameters in transformer for extractive summarization? discourse can help !
Wen Xiao, Patrick Huber, and Giuseppe Carenini. 2020 · 2020
Do syntax trees help pre-trained transformers extract information?
Devendra Sachan, Yuhao Zhang, Peng Qi, and William L. Hamilton. 2021 · 2021
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Predicting discourse trees from transformer-based neural summarizers
Wen Xiao, Patrick Huber, and Giuseppe Carenini. 2021 · 2021
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The change that matters in discourse parsing: Estimating the impact of domain shift on parser error
Katherine Atwell, Anthony Sicilia, Seong Jae Hwang, and Malihe Alikhani. 2022 · 2022
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HIBRIDS: Attention with hierarchical biases for structure-aware long document summarization
Shuyang Cao and Lu Wang. 2022 · 2022
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ArgLegalSumm: Improving abstractive summarization of legal documents with argument mining
Mohamed Elaraby and Diane Litman. 2022 · 2022
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Cited alongside, same era.
Discourse-aware neural extractive text summarization
Jiacheng Xu, Zhe Gan, Yu Cheng, and Jingjing Liu. 2020 · 2020
Cited alongside, same era.
Big bird: Transformers for longer sequences
Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontanon, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, and Amr Ahmed. 2020 · 2020
Cited alongside, same era.
Sg-net: Syntax-guided machine reading comprehension
Zhuosheng Zhang, Yuwei Wu, Junru Zhou, Sufeng Duan, Hai Zhao, and Rui Wang. 2020 · 2020
Cited alongside, same era.
Discourse level factors for sentence deletion in text simplification
Yang Zhong, Chao Jiang, Wei Xu, and Junyi Jessy Li. 2020 · 2020
Cited alongside, same era.
StructSum: Summarization via structured representations
Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime Carbonell, and Yulia Tsvetkov. 2021 · 2021
Cited alongside, same era.
Structure-aware abstractive conversation summarization via discourse and action graphs
Jiaao Chen and Diyi Yang. 2021 · 2021
Cited alongside, same era.
Tomas Goldsack, Zhihao Zhang, Chenghua Lin, and Carolina Scarton. 2022 · 2022
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LongT5: Efficient text-to-text transformer for long sequences
Mandy Guo, Joshua Ainslie, David Uthus, Santiago Ontanon, Jianmo Ni, Yun-Hsuan Sung, and Yinfei Yang. 2022 · 2022
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Towards understanding large-scale discourse structures in pre-trained and fine-tuned language models
Patrick Huber and Giuseppe Carenini. 2022 · 2022
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BOOKSUM: A collection of datasets for long-form narrative summarization
Wojciech Kryscinski, Nazneen Rajani, Divyansh Agarwal, Caiming Xiong, and Dragomir Radev. 2022 · 2022
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SummaC: Re-visiting NLI-based models for inconsistency detection in summarization
Philippe Laban, Tobias Schnabel, Paul N. Bennett, and Marti A. Hearst. 2022 · 2022
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The patient is more dead than alive: exploring the current state of the multi-document summarisation of the biomedical literature
Yulia Otmakhova, Karin Verspoor, Timothy Baldwin, and Jey Han Lau. 2022 · 2022
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Two-stage movie script summarization: An efficient method for low-resource long document summarization
Dongqi Pu, Xudong Hong, Pin-Jie Lin, Ernie Chang, and Vera Demberg. 2022 · 2022
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Passing parser uncertainty to the transformer: Labeled dependency distributions for neural machine translation
Dongqi Pu and Khalil Sima’an. 2022 · 2022
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HiStruct+: Improving extractive text summarization with hierarchical structure information
Qian Ruan, Malte Ostendorff, and Georg Rehm. 2022 · 2022
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DACSA: A large-scale dataset for automatic summarization of Catalan and Spanish newspaper articles
Encarnación Segarra Soriano, Vicent Ahuir, Lluís-F. Hurtado, and José González. 2022 · 2022
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Multi-lexsum: Real-world summaries of civil rights lawsuits at multiple granularities
Zejiang Shen, Kyle Lo, Lauren Yu, Nathan Dahlberg, Margo Schlanger, and Doug Downey. 2022 · 2022
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NoisyTune: A little noise can help you finetune pretrained language models better
Chuhan Wu, Fangzhao Wu, Tao Qi, and Yongfeng Huang. 2022 · 2022
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GRETEL: Graph contrastive topic enhanced language model for long document extractive summarization
Qianqian Xie, Jimin Huang, Tulika Saha, and Sophia Ananiadou. 2022 · 2022
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RST discourse parsing with second-stage EDU-level pre-training
Nan Yu, Meishan Zhang, Guohong Fu, and Min Zhang. 2022 · 2022
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Label distributions help implicit discourse relation classification
Frances Yung, Kaveri Anuranjana, Merel Scholman, and Vera Demberg. 2022 · 2022
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An evaluation on large language model outputs: Discourse and memorization
Adrian de Wynter, Xun Wang, Alex Sokolov, Qilong Gu, and Si-Qing Chen. 2023 · 2023
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