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Radiology reports play a critical role in communicating medical findings to physicians.
Mimic-cxr-jpg, a Large Publicly Available Database of Labeled Chest Radiographs
Alistair EW 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
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Attend to Medical Ontologies: Content Selection for Clinical Abstractive Summarization
Sajad Sotudeh Gharebagh, Nazli Goharian, and Ross Filice. 2020 · 1905
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Lexrank: Graph-based Lexical Centrality as Salience in Text Summarization
Günes Erkan and Dragomir R Radev. 2004 · 2004
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Exploring Explainable Selection to Control Abstractive Generation
Wang Haonan, Gao Yang, Bai Yu, Mirella Lapata, and Huang Heyan. 2020 · 2004
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Rouge: A Rackage for Automatic Evaluation of Summaries
Chin-Yew Lin. 2004 · 2004
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Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection
Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, Jan Hajič, Christopher D Manning, Sampo Pyysalo, Sebastian Schuster, Francis Tyers, and Daniel Zeman. 2020 · 2004
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Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward
Luyang Huang, Lingfei Wu, and Lu Wang. 2020 · 2005
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On Faithfulness and Factuality in Abstractive Summarization
Joshua Maynez, Shashi Narayan, Bernd Bohnet, and Ryan McDonald. 2020 · 2005
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Biomedical and Clinical English Model Packages in the Stanza Python NLP Library
Yuhao Zhang, Yuhui Zhang, Peng Qi, Christopher D Manning, and Curtis P Langlotz. 2020 · 2007
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Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013 · 2013
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
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Preparing a Collection of Radiology Examinations for Distribution and Retrieval
Dina Demner-Fushman, Marc D Kohli, Marc B Rosenman, Sonya E Shooshan, Laritza Rodriguez, Sameer Antani, George R Thoma, and Clement J McDonald. 2016 · 2016
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Information Extraction from Multi-institutional Radiology Reports
Saeed Hassanpour and Curtis P Langlotz. 2016 · 2016
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Semi-supervised Classification with Graph Convolutional Networks
Thomas N Kipf and Max Welling. 2016 · 2016
Cited alongside, same era.
Get to the Point: Summarization with Pointer-Generator Networks
Abigail See, Peter J Liu, and Christopher D Manning. 2017 · 2017
Cited alongside, same era.
Learning Word Representations with Regularization from Prior Knowledge
Yan Song, Chia-Jung Lee, and Fei Xia. 2017 · 2017
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Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio, and Yoshua Bengio. 2017 · 2017
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A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss
Wan-Ting Hsu, Chieh-Kai Lin, Ming-Ying Lee, Kerui Min, Jing Tang, and Min Sun. 2018 · 2018
Cited alongside, same era.
Ontology-Aware Clinical Abstractive Summarization
Sean MacAvaney, Sajad Sotudeh, Arman Cohan, Nazli Goharian, Ish Talati, and Ross W Filice. 2019 · 2019
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Joint Aspect Extraction and Sentiment Analysis with Directional Graph Convolutional Networks
Guimin Chen, Yuanhe Tian, and Yan Song. 2020 · 2020
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SpanBERT: Improving pre-training by representing and predicting spans
Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, and Omer Levy. 2020 · 2020
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On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
Jonathan Pilault, Raymond Li, Sandeep Subramanian, and Christopher Pal. 2020 · 2020
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Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation
Amir Pouran Ben Veyseh, Nasim Nouri, Franck Dernoncourt, Quan Hung Tran, Dejing Dou, and Thien Huu Nguyen. 2020 · 2020
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Guiding Generation for Abstractive Text Summarization Based on Key Information Guide Network
Chenliang Li, Weiran Xu, Si Li, and Sheng Gao. 2018 · 2018
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Global Encoding for Abstractive Summarization
Junyang Lin, Xu Sun, Shuming Ma, and Qi Su. 2018 · 2018
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Deep contextualized word representations
Matthew Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
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Complementary Learning of Word Embeddings
Yan Song and Shuming Shi. 2018 · 2018
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Directional Skip-Gram: Explicitly Distinguishing Left and Right Context for Word Embeddings
Yan Song, Shuming Shi, Jing Li, and Haisong Zhang. 2018 · 2018
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Learning to Summarize Radiology Findings
Yuhao Zhang, Daisy Yi Ding, Tianpei Qian, Christopher D Manning, and Curtis P Langlotz. 2018 · 2018
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Chexbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT
Akshay Smit, Saahil Jain, Pranav Rajpurkar, Anuj Pareek, Andrew Y Ng, and Matthew Lungren. 2020 · 2020
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Controlling the Amount of Verbatim Copying in Abstractive Summarization
Kaiqiang Song, Bingqing Wang, Zhe Feng, Ren Liu, and Fei Liu. 2020 · 2020
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Supertagging Combinatory Categorial Grammar with Attentive Graph Convolutional Networks
Yuanhe Tian, Yan Song, and Fei Xia. 2020b · 2020
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SRLGRN: Semantic role labeling graph reasoning network
Chen Zheng and Parisa Kordjamshidi. 2020 · 2020
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Relation Extraction with Type-aware Map Memories of Word Dependencies
Guimin Chen, Yuanhe Tian, Yan Song, and Xiang Wan. 2021 · 2021
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ZEN 2.0: Continue Training and Adaption for N-gram Enhanced Text Encoders
Yan Song, Tong Zhang, Yonggang Wang, and Kai-Fu Lee. 2021 · 2021
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Aspect-based Sentiment Analysis with Type-aware Graph Convolutional Networks and Layer Ensemble
Yuanhe Tian, Guimin Chen, and Yan Song. 2021a · 2021
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