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The internet has had a dramatic effect on the healthcare industry, allowing documents to be saved, shared, and managed digitally.
MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs
Alistair E. W. Johnson, Tom J. Pollard, Nathaniel R. Greenbaum, Matthew P. Lungren, Chih-ying Deng, Yifan Peng, Zhiyong Lu, Roger G. Mark, Seth J. Berkowitz, and Steven Horng. 2019 · 1901
Earlier work this paper cites.
Answer-based Adversarial Training for Generating Clarification Questions
Sudha Rao and Hal Daumé. 2019 · 1904
Earlier work this paper 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, Ves Stoyanov, and Luke Zettlemoyer. 2019 · 1910
Earlier work this paper cites.
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2019 · 1910
Earlier work this paper cites.
A computer readability formula designed for machine scoring
Meri Coleman and Ta Lin Liau. 1975 · 1975
Earlier work this paper cites.
Derivation of new readability formulas (automated readability index, fog count and flesch reading ease formula) for navy enlisted personnel
J Peter Kincaid, Robert P Fishburne Jr, Richard L Rogers, and Brad S Chissom. 1975 · 1975
Earlier work this paper cites.
Measuring readability: A comparison of accounting textbooks
Steven M Flory, Thomas J Phillips Jr, and Maurice F Tassin. 1992 · 1992
Earlier work this paper cites.
Bleu: a method for automatic evaluation of machine translation. In Proceedings of the 40th annual meeting of the Association for Computational Linguistics . 311–318
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
Earlier work this paper cites.
Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings
Haoran Zhang, Amy X. Lu, Mohamed Abdalla, Matthew McDermott, and Marzyeh Ghassemi. 2020a · 2003
Earlier work this paper cites.
The Unified Medical Language System (UMLS): Integrating Biomedical Terminology
Olivier Bodenreider. 2004 · 2004
Earlier work this paper cites.
ROUGE: A Package for Automatic Evaluation of Summaries. In Text Summarization Branches Out . Association for Computational Linguistics, Barcelona, Spain, 74–81
Chin-Yew Lin. 2004 · 2004
Earlier work this paper cites.
Summarization from medical documents: a survey
Stergos Afantenos, Vangelis Karkaletsis, and Panagiotis Stamatopoulos. 2005a · 2005
Earlier work this paper cites.
Summarization from Medical Documents: A Survey
Stergos D. Afantenos, Vangelis Karkaletsis, and Panagiotis Stamatopoulos. 2005b · 2005
Earlier work this paper cites.
Electronic health records
Edward P Ambinder. 2005 · 2005
Earlier work this paper cites.
METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments. In Proceedings of the ACL Workshop on Intrinsic and Extrinsic Evaluation Measures for Machine Translation and/or Summarization . Association for Computational Linguistics, Ann Arbor, Michigan, 65–72
Satanjeev Banerjee and Alon Lavie. 2005 · 2005
Earlier work this paper cites.
Modeling Local Coherence: An Entity-Based Approach. In Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL’05) . Association for Computational Linguistics, Ann Arbor, Michigan, 141–148
Regina Barzilay and Mirella Lapata. 2005 · 2005
Earlier work this paper cites.
Language Models are Few-Shot Learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 2005
Earlier work this paper cites.
On Faithfulness and Factuality in Abstractive Summarization
Joshua Maynez, Shashi Narayan, Bernd Bohnet, and Ryan McDonald. 2020b · 2005
Earlier work this paper cites.
Automatic Text Summarization of COVID-19 Medical Research Articles using BERT and GPT-2
Virapat Kieuvongngam, Bowen Tan, and Yiming Niu. 2020 · 2006
Earlier work this paper cites.
SummEval: Re-evaluating Summarization Evaluation
Alexander R. Fabbri, Wojciech Kryściński, Bryan McCann, Caiming Xiong, Richard Socher, and Dragomir Radev. 2020 · 2007
Earlier work this paper cites.
Deficits in Communication and Information Transfer Between Hospital-Based and Primary Care Physicians
Sunil Kripalani, Frank Lefevre, Christopher Phillips, Mark Williams, Preetha Basaviah, and David Baker. 2007 · 2007
Earlier work this paper cites.
Continual BERT: Continual Learning for Adaptive Extractive Summarization of COVID-19 Literature
Jong Won Park. 2020 · 2007
Earlier work this paper cites.
Generating (Factual?) Narrative Summaries of RCTs: Experiments with Neural Multi-Document Summarization
Byron C. Wallace, Sayantan Saha, Frank Soboczenski, and Iain J. Marshall. 2020 · 2008
Earlier work this paper cites.
TEXT2TABLE: Medical Text Summarization System Based on Named Entity Recognition and Modality Identification. In Proceedings of the BioNLP 2009 Workshop . Association for Computational Linguistics, Boulder, Colorado, 185–192
Eiji Aramaki, Yasuhide Miura, Masatsugu Tonoike, Tomoko Ohkuma, Hiroshi Mashuichi, and Kazuhiko Ohe. 2009 · 2009
Earlier work this paper cites.
ConText: an algorithm for determining negation, experiencer, and temporal status from clinical reports
Henk Harkema, John N Dowling, Tyler Thornblade, and Wendy W Chapman. 2009 · 2009
Earlier work this paper cites.
Using Domain Knowledge for Text Summarization in Medical Domain
K. Sarkar. 2009 · 2009
Earlier work this paper cites.
Critical Finding Capture in the Impression Section of Radiology Reports
Esteban Gershanik, Ronilda Lacson, and Ramin Khorasani. 2011 · 2011
Earlier work this paper cites.
Adversarial machine learning. In Proceedings of the 4th ACM workshop on Security and artificial intelligence . 43–58
Ling Huang, Anthony D Joseph, Blaine Nelson, Benjamin IP Rubinstein, and J Doug Tygar. 2011 · 2011
Earlier work this paper cites.
Using machine learning for medical document summarization
Kamal Sarkar, Mita Nasipuri, and Suranjan Ghose. 2011 · 2011
Earlier work this paper cites.
Automated Lay Language Summarization of Biomedical Scientific Reviews
Yue Guo, Wei Qiu, Yizhong Wang, and Trevor Cohen. 2020 · 2012
Earlier work this paper cites.
The tension between data sharing and the protection of privacy in genomics research
Jane Kaye. 2012 · 2012
Earlier work this paper cites.
Biomedical computing: Digitizing life in the United States . Vol. 130
Joseph A November. 2012 · 2012
Earlier work this paper cites.
Social media and information overload: Survey results
Kalina Bontcheva, Genevieve Gorrell, and Bridgette Wessels. 2013 · 2013
Earlier work this paper cites.
Burnout and workload among health care workers: the moderating role of job control
Igor Portoghese, Maura Galletta, Rosa Cristina Coppola, Gabriele Finco, and Marcello Campagna. 2014 · 2014
Earlier work this paper cites.
Automatic extraction of numerical values from unstructured data in EHRs
Elise Bigeard, Vianney Jouhet, Fleur Mougin, Frantz Thiessard, and Natalia Grabar. 2015 · 2015
Earlier work this paper cites.
Preparing a collection of radiology examinations for distribution and retrieval
Dina Demner-Fushman, Marc Kohli, Marc Rosenman, Sonya Shooshan, Laritza Rodriguez, Sameer Antani, George Thoma, and Clement Mcdonald. 2015 · 2015
Earlier work this paper cites.
Towards an Efficient Approach for Automatic Medical Document Summarization
P. Gayathri and N. Jaisankar. 2015 · 2015
Earlier work this paper cites.
An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition
George Tsatsaronis, Georgios Balikas, Prodromos Malakasiotis, Ioannis Partalas, Matthias Zschunke, Michael Alvers, Dirk Weißenborn, Anastasia Krithara, Sergios Petridis, Dimitris Polychronopoulos, Yannis Almirantis, John Pavlopoulos, Nicolas Baskiotis, Patrick Gallinari, Thierry Artieres, Axel-Cyrille Ngonga Ngomo, Norman Heino, Eric Gaussier, Liliana Barrio-Alvers, and Georgios Paliouras. 2015 · 2015
Earlier work this paper cites.
Can we open the black box of AI?
Davide Castelvecchi. 2016 · 2016
Earlier work this paper cites.
Yes, we care! results of the ethics and natural language processing surveys. In international Language Resources and Evaluation Conference (LREC) 2016
Karën Fort and Alain Couillault. 2016 · 2016
Earlier work this paper cites.
MIMIC-III, a freely accessible critical care database
Alistair EW Johnson, Tom J Pollard, Lu Shen, Li-wei H Lehman, Mengling Feng, Mohammad Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony Celi, and Roger G Mark. 2016 · 2016
Earlier work this paper cites.
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro, Sameer Singh, and Carlos Guestrin. 2016 · 2016
Earlier work this paper cites.
Interactive use of online health resources: a comparison of consumer and professional questions
Kirk Roberts and Dina Demner-Fushman. 2016 · 2016
Earlier work this paper cites.
QuickUMLS: a Fast, Unsupervised Approach for Medical Concept Extraction
Luca Soldaini. 2016 · 2016
Earlier work this paper cites.
Transitions of Care: Improving the Quality of Discharge Summaries Completed By Internal Medicine Residents
Meghan Black and Cristin Colford. 2017 · 2017
Cited alongside, same era.
Query-based summarization using MDL principle
Marina Litvak and Natalia Vanetik. 2017 · 2017
Cited alongside, same era.
A survey on security attacks in electronic healthcare systems. In 2017 international conference on communication and signal processing (ICCSP) . IEEE, 0691–0694
R Priya, S Sivasankaran, P Ravisasthiri, and S Sivachandiran. 2017 · 2017
Cited alongside, same era.
Axiomatic Attribution for Deep Networks
Mukund Sundararajan, Ankur Taly, and Qiqi Yan. 2017 · 2017
Cited alongside, same era.
Randomised controlled trials—the gold standard for effectiveness research
Eduardo Hariton and Joseph J Locascio. 2018 · 2018
Cited alongside, same era.
Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization. In Proceedings of the Second Workshop on Natural Language Processing for Medical Conversations . Association for Computational Linguistics, Online, 66–76
Bharath Chintagunta, Namit Katariya, Xavier Amatriain, and Anitha Kannan. 2021a · 2021
Later among the works it cites.
Two-step adversarial debiasing with partial learning – medical image case-studies
Ramon Correa, Jiwoong Jason Jeong, Bhavik Patel, Hari Trivedi, Judy W. Gichoya, and Imon Banerjee. 2021 · 2021
Later among the works it cites.
QIAI at MEDIQA 2021: Multimodal Radiology Report Summarization. In Proceedings of the 20th Workshop on Biomedical Language Processing . Association for Computational Linguistics, Online, 285–290
Jean-Benoit Delbrouck, Cassie Zhang, and Daniel Rubin. 2021 · 2021
Later among the works it cites.
MSˆ2: Multi-Document Summarization of Medical Studies. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics, Online and Punta Cana, Dominican Republic, 7494–7513
Jay DeYoung, Iz Beltagy, Madeleine van Zuylen, Bailey Kuehl, and Lucy Lu Wang. 2021 · 2021
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Chris Kedzie, Kathleen McKeown, and Hal Daume III. 2018 · 2018
Cited alongside, same era.
Learning to summarize radiology findings
Yuhao Zhang, Daisy Yi Ding, Tianpei Qian, Christopher D Manning, and Curtis P Langlotz. 2018 · 2018
Cited alongside, same era.
On the Summarization of Consumer Health Questions. In ACL
Asma Ben Abacha and Dina Demner-Fushman. 2019 · 2019
Cited alongside, same era.
On the Role of Question Summarization and Information Source Restriction in Consumer Health Question Answering
Asma Ben Abacha and Dina Demner-Fushman. 2019 · 2019
Cited alongside, same era.
Can AI help reduce disparities in general medical and mental health care?
Irene Y Chen, Peter Szolovits, and Marzyeh Ghassemi. 2019 · 2019
Cited alongside, same era.
Sentence Mover’s Similarity: Automatic Evaluation for Multi-Sentence Texts. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics . Association for Computational Linguistics, Florence, Italy, 2748–2760
Elizabeth Clark, Asli Celikyilmaz, and Noah A. Smith. 2019 · 2019
Cited alongside, same era.
A scoping review of consumer needs for cancer information
Heuisug Jo, Keeho Park, and Su Mi Jung. 2019 · 2019
Cited alongside, same era.
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.
A survey on bias in deep NLP
Ismael Garrido-Muñoz, Arturo Montejo-Ráez, Fernando Martínez-Santiago, and L Alfonso Ureña-López. 2021 · 2021
Later among the works it cites.
Robustness Gym: Unifying the NLP Evaluation Landscape
Karan Goel, Nazneen Rajani, Jesse Vig, Samson Tan, Jason Wu, Stephan Zheng, Caiming Xiong, Mohit Bansal, and Christopher Ré. 2021 · 2021
Later among the works it cites.
Word graph guided summarization for radiology findings
Jinpeng Hu, Jianling Li, Zhihong Chen, Yaling Shen, Yan Song, Xiang Wan, and Tsung-Hui Chang. 2021 · 2021
Later among the works it cites.
A comprehensive survey of multi-view video summarization
Tanveer Hussain, Khan Muhammad, Weiping Ding, Jaime Lloret, Sung Wook Baik, and Victor Hugo C de Albuquerque. 2021 · 2021
Later among the works it cites.
Multi-Modal Supplementary-Complementary Summarization Using Multi-Objective Optimization. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval
Anubhav Jangra, Sriparna Saha, Adam Jatowt, and Mohammed Hasanuzzaman. (SIGIR 2021) · 2021
Later among the works it cites.
Optum at MEDIQA 2021: Abstractive Summarization of Radiology Reports using simple BART Finetuning. In Proceedings of the 20th Workshop on Biomedical Language Processing . 280–284
Ravikumar Kondadadi, Sahil Manchanda, Jason Ngo, and Ronan McCormack. 2021 · 2021
Later among the works it cites.
Generating SOAP Notes from Doctor-Patient Conversations Using Modular Summarization Techniques. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) . Association for Computational Linguistics, Online, 4958–4972
Kundan Krishna, Sopan Khosla, Jeffrey Bigham, and Zachary C. Lipton. 2021 · 2021
Later among the works it cites.
A review of deep-learning-based medical image segmentation methods
Xiangbin Liu, Liping Song, Shuai Liu, and Yudong Zhang. 2021 · 2021
Later among the works it cites.
Towards objectively evaluating the quality of generated medical summaries
Francesco Moramarco, Damir Juric, Aleksandar Savkov, and Ehud Reiter. 2021 · 2021
Later among the works it cites.
Biomedical text summarization using Conditional Generative Adversarial Network(CGAN)
Seyed Vahid Moravvej, Abdolreza Mirzaei, and Mehran Safayani. 2021 · 2021
Later among the works it cites.
Joint Summarization-Entailment Optimization for Consumer Health Question Understanding
Khalil Mrini, Franck Dernoncourt, Walter Chang, Emilia Farcas, and Ndapa Nakashole. 2021a · 2021
Later among the works it cites.
Overview of BioASQ 2021: The Ninth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
Anastasios Nentidis, Georgios Katsimpras, Eirini Vandorou, Anastasia Krithara, Luis Gasco, Martin Krallinger, and Georgios Paliouras. 2021 · 2021
Later among the works it cites.
A comprehensive survey of deep learning in the field of medical imaging and medical natural language processing: Challenges and research directions
Babita Pandey, Devendra Kumar Pandey, Brijendra Pratap Mishra, and Wasiur Rhmann. 2021 · 2021
Later among the works it cites.
TLS-Covid19: A New Annotated Corpus for Timeline Summarization. In Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 - April 1, 2021, Proceedings, Part I (Lecture Notes in Computer Science, Vol. 12656) . Springer, 497–512
Arian Pasquali, Ricardo Campos, Alexandre Ribeiro, Brenda Salenave Santana, Alípio Jorge, and Adam Jatowt. 2021 · 2021
Later among the works it cites.
Machine learning: Algorithms, real-world applications and research directions
Iqbal H Sarker. 2021 · 2021
Later among the works it cites.
Nutri-bullets Hybrid: Consensual Multi-document Summarization. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies . Association for Computational Linguistics, Online, 5213–5222
Darsh Shah, Lili Yu, Tao Lei, and Regina Barzilay. 2021a · 2021
Later among the works it cites.
Nutri-bullets Hybrid: Consensual Multi-document Summarization. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies . 5213–5222
Darsh Shah, Lili Yu, Tao Lei, and Regina Barzilay. 2021b · 2021
Later among the works it cites.
Nutri-bullets: Summarizing Health Studies by Composing Segments
Darsh J Shah, Lili Yu, Tao Lei, and Regina Barzilay. 2021c · 2021
Later among the works it cites.
Towards Clinical Encounter Summarization: Learning to Compose Discharge Summaries from Prior Notes
Han-Chin Shing, Chaitanya Shivade, Nima Pourdamghani, Feng Nan, Philip Resnik, Douglas Oard, and Parminder Bhatia. 2021 · 2021
Later among the works it cites.
Numeracy enhances the Literacy of Language Models. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics, Online and Punta Cana, Dominican Republic, 6960–6967
Avijit Thawani, Jay Pujara, and Filip Ilievski. 2021a · 2021
Later among the works it cites.
Representing Numbers in NLP: a Survey and a Vision. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies . Association for Computational Linguistics, Online, 644–656
Avijit Thawani, Jay Pujara, Filip Ilievski, and Pedro Szekely. 2021b · 2021
Later among the works it cites.
Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution
Jiacheng Xu and Greg Durrett. 2021 · 2021
Later among the works it cites.
Leveraging Pretrained Models for Automatic Summarization of Doctor-Patient Conversations
Longxiang Zhang, Renato Negrinho, Arindam Ghosh, Vasudevan Jagannathan, Hamid Reza Hassanzadeh, Thomas Schaaf, and Matthew R. Gormley. 2021 · 2021
Later among the works it cites.
Natural Language Processing for Smart Healthcare
Binggui Zhou, Guanghua Yang, Zheng Shi, and Shaodan Ma. 2021 · 2021
Later among the works it cites.
COVIDSum: A linguistically enriched SciBERT-based summarization model for COVID-19 scientific papers
Xiaoyan Cai, Sen Liu, Libin Yang, Yan Lu, Jintao Zhao, Dinggang Shen, and Tianming Liu. 2022a · 2022
Closest in time.
COVIDSum: A Linguistically Enriched SciBERT-Based Summarization Model for COVID-19 Scientific Papers
Xiaoyan Cai, Sen Liu, Libin Yang, Yan Lu, Jintao Zhao, Dinggang Shen, and Tianming Liu. 2022b · 2022
Closest in time.
Towards Improving Faithfulness in Abstractive Summarization
Xiuying Chen, Mingzhe Li, Xin Gao, and Xiangliang Zhang. 2022 · 2022
Closest in time.
Proceedings of the 21st Workshop on Biomedical Language Processing . Association for Computational Linguistics, Dublin, Ireland
Dina Demner-Fushman, Kevin Bretonnel Cohen, Sophia Ananiadou, and Junichi Tsujii (Eds.). 2022 · 2022
Closest in time.
WIDAR - Weighted Input Document Augmented ROUGE. In Advances in Information Retrieval: 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022, Proceedings, Part I (Stavanger, Norway). Springer-Verlag, Berlin, Heidelberg, 304–321
Raghav Jain, Vaibhav Mavi, Anubhav Jangra, and Sriparna Saha. 2022 · 2022
Closest in time.
Biomedical Question Answering: A Survey of Approaches and Challenges
Qiao Jin, Zheng Yuan, Guangzhi Xiong, Qianlan Yu, Huaiyuan Ying, Chuanqi Tan, Mosha Chen, Songfang Huang, Xiaozhong Liu, and Sheng Yu. 2022 · 2022
Closest in time.
Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification
Luyang Luo, Dunyuan Xu, Hao Chen, Tien-Tsin Wong, and Pheng-Ann Heng. 2022 · 2022
Closest in time.
A review of anonymization for healthcare data
Iyiola E Olatunji, Jens Rauch, Matthias Katzensteiner, and Megha Khosla. 2022 · 2022
Closest in time.
3 - Deep learning applications for disease diagnosis
Deepak Kumar Sharma, Mayukh Chatterjee, Gurmehak Kaur, and Suchitra Vavilala. 2022 · 2022
Closest in time.
The AI Doctor Is In: A Survey of Task-Oriented Dialogue Systems for Healthcare Applications. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . Association for Computational Linguistics, Dublin, Ireland, 6638–6660
Mina Valizadeh and Natalie Parde. 2022 · 2022
Closest in time.
A survey on cross-lingual summarization
Jiaan Wang, Fandong Meng, Duo Zheng, Yunlong Liang, Zhixu Li, Jianfeng Qu, and Jie Zhou. 2022 · 2022
Closest in time.
Question-aware transformer models for consumer health question summarization
Shweta Yadav, Deepak Gupta, Asma Ben Abacha, and Dina Demner-Fushman. 2022 · 2022
Closest in time.
Algorithmic Fairness and Bias Mitigation for Clinical Machine Learning: Insights from Rapid COVID-19 Diagnosis by Adversarial Learning
Jenny Yang, Andrew Soltan, Yang Yang, and David Clifton. 2022 · 2022
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A Survey of Automatic Source Code Summarization
Chunyan Zhang, Junchao Wang, Qinglei Zhou, Ting Xu, Ke Tang, Hairen Gui, and Fudong Liu. 2022 · 2022
Closest in time.
Artefact retrieval: Overview of NLP models with knowledge base access
Vilém Zouhar, Marius Mosbach, Debanjali Biswas, and Dietrich Klakow. 2022 · 2022
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