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Lay summarisation aims to jointly summarise and simplify a given text, thus making its content more comprehensible to non-experts.
LexRank: Graph-based lexical centrality as salience in text summarization
G. Erkan and D. R. Radev. 2004 · 2004
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ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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TextRank: Bringing order into text
Rada Mihalcea and Paul Tarau. 2004 · 2004
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Using latent semantic analysis in text summarization and summary evaluation
Josef Steinberger and Karel Jezek. 2004 · 2004
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From concepts to clinical reality: An essay on the benchmarking of biomedical terminologies
Barry Smith. 2006 · 2006
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Interdisciplinary promises versus practices in medicine: The decoupled experiences of social sciences and humanities scholars
Mathieu Albert, Elise Paradis, and Ayelet Kuper. 2015 · 2015
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Lay summaries needed to enhance science communication
Lauren M Kuehne and Julian D Olden. 2015 · 2015
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PubMed 200k RCT: a dataset for sequential sentence classification in medical abstracts
Franck Dernoncourt and Ji Young Lee. 2017 · 2017
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Plain-language Summaries of Research: An inside guide to eLife digests
Stuart R F King, Emma Pewsey, and Sarah Shailes. 2017 · 2017
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Summarunner: A recurrent neural network based sequence model for extractive summarization of documents
Ramesh Nallapati, Feifei Zhai, and Bowen Zhou. 2017 · 2017
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Get to the point: Summarization with pointer-generator networks
Abigail See, Peter J. Liu, and Christopher D. Manning. 2017 · 2017
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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
Cited alongside, same era.
EASSE: Easier automatic sentence simplification evaluation
Fernando Alva-Manchego, Louis Martin, Carolina Scarton, and Lucia Specia. 2019 · 2019
Cited alongside, same era.
SciBERT: A pretrained language model for scientific text
Iz Beltagy, Kyle Lo, and Arman Cohan. 2019 · 2019
Cited alongside, same era.
Pretrained language models for sequential sentence classification
Arman Cohan, Iz Beltagy, Daniel King, Bhavana Dalvi, and Dan Weld. 2019 · 2019
Cited alongside, same era.
Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter. 2019 · 2019
Cited alongside, same era.
ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing
Mark Neumann, Daniel King, Iz Beltagy, and Waleed Ammar. 2019 · 2019
COVID-19–Related Infodemic and Its Impact on Public Health: A Global Social Media Analysis
Md Saiful Islam, Tonmoy Sarkar, Sazzad Hossain Khan, Abu-Hena Mostofa Kamal, S M Murshid Hasan, Alamgir Kabir, Dalia Yeasmin, Mohammad Ariful Islam, Kamal Ibne Amin Chowdhury, Kazi Selim Anwar, Abrar Ahmad Chughtai, and Holly Seale. 2020 · 2020
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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
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On faithfulness and factuality in abstractive summarization
Joshua Maynez, Shashi Narayan, Bernd Bohnet, and Ryan Thomas Mcdonald. 2020 · 2020
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PySBD: Pragmatic sentence boundary disambiguation
Nipun Sadvilkar and Mark Neumann. 2020 · 2020
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HTSS: A novel hybrid text summarisation and simplification architecture
Farooq Zaman, Matthew Shardlow, Saeed-Ul Hassan, Naif Radi Aljohani, and Raheel Nawaz. 2020 · 2020
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Cited alongside, same era.
BIGPATENT: A Large-Scale dataset for abstractive and coherent summarization
Eva Sharma, Chen Li, and Lu Wang. 2019 · 2019
Cited alongside, same era.
Huggingface’s transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander M. Rush. 2019 · 2019
Cited alongside, same era.
TLDR: Extreme summarization of scientific documents
Isabel Cachola, Kyle Lo, Arman Cohan, and Daniel Weld. 2020 · 2020
Cited alongside, same era.
Overview and insights from the shared tasks at scholarly document processing 2020: CL-SciSumm, LaySumm and
Muthu Kumar Chandrasekaran, Guy Feigenblat, Eduard Hovy, and Anita de Waard. 2020 · 2020
Cited alongside, same era.
Paragraph-level simplification of medical texts
Ashwin Devaraj, Iain Marshall, Byron Wallace, and Junyi Jessy Li. 2021 · 2021
Later among the works it cites.
Discourse-Aware unsupervised summarization for long scientific documents
Yue Dong, Andrei Mircea, and Jackie Chi Kit Cheung. 2021 · 2021
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Automated Lay Language Summarization of Biomedical Scientific Reviews
Yue Guo, Wei Qiu, Yizhong Wang, and Trevor Cohen. 2021 · 2021
Later among the works it cites.
Named entity aware transfer learning for biomedical factoid question answering
Keqin Peng, Chuantao Yin, Wenge Rong, Chenghua Lin, Deyu Zhou, and Zhang Xiong. 2021 · 2021
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Barriers to cross-disciplinary knowledge flow: The case of medical education research
Mathieu Albert, Paula Rowland, Farah Friesen, and Suzanne Laberge. 2022 · 2022
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