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Medical imaging plays a significant role in clinical practice of medical diagnosis, where the text reports of the images are essential in understanding them and facilitating later treatments.
MIMIC-CXR: A large publicly available database of labeled chest radiographs
Alistair EW Johnson, Tom J Pollard, Seth J Berkowitz, Nathaniel R Greenbaum, Matthew P Lungren, Chih-ying Deng, Roger G Mark, and Steven Horng. 2019 · 1901
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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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Keyphrase Generation with Cross-Document Attention
Shizhe Diao, Yan Song, and Tong Zhang. 2020 · 2004
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ROUGE: A Package for Automatic Evaluation of Summaries
Chin-Yew Lin. 2004 · 2004
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ImageNet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei. 2009 · 2009
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Meteor 1.3: Automatic Metric for Reliable Optimization and Evaluation of Machine Translation Systems
Michael Denkowski and Alon Lavie. 2011 · 2011
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GloVe: Global Vectors for Word Representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
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Adam: A Method for Stochastic Optimization
Diederik P Kingma and Jimmy Ba. 2015 · 2015
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Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan and Andrew Zisserman. 2015 · 2015
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End-To-End Memory Networks
Sainbayar Sukhbaatar, Jason Weston, Rob Fergus, et al. 2015 · 2015
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Show and Tell: A Neural Image Caption Generator
Oriol Vinyals, Alexander Toshev, Samy Bengio, and Dumitru Erhan. 2015 · 2015
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Jason Weston, Sumit Chopra, and Antoine Bordes. 2015 · 2015
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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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Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016
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Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning
Jiasen Lu, Caiming Xiong, Devi Parikh, and Richard Socher. 2017 · 2017
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Self-critical Sequence Training for Image Captioning
Steven J Rennie, Etienne Marcheret, Youssef Mroueh, Jerret Ross, and Vaibhava Goel. 2017 · 2017
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Learning Word Representations with Regularization from Prior Knowledge
Yan Song, Chia-Jung Lee, and Fei Xia. 2017 · 2017
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Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
Peter Anderson, Xiaodong He, Chris Buehler, Damien Teney, Mark Johnson, Stephen Gould, and Lei Zhang. 2018 · 2018
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On the Automatic Generation of Medical Imaging Reports
Baoyu Jing, Pengtao Xie, and Eric Xing. 2018 · 2018
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Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation
Yuan Li, Xiaodan Liang, Zhiting Hu, and Eric P Xing. 2018 · 2018
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emrQA: A Large Corpus for Question Answering on Electronic Medical Records
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn Ball, Katie Shpanskaya, et al. 2019 · 2019
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Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-ray Reports
Baoyu Jing, Zeya Wang, and Eric Xing. 2019 · 2019
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Clinically Accurate Chest X-Ray Report Generation
Guanxiong Liu, Tzu-Ming Harry Hsu, Matthew McDermott, Willie Boag, Wei-Hung Weng, Peter Szolovits, and Marzyeh Ghassemi. 2019 · 2019
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ChiMed: A Chinese Medical Corpus for Question Answering
Yuanhe Tian, Weicheng Ma, Fei Xia, and Yan Song. 2019 · 2019
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Hierarchical Attention Network for Image Captioning
Weixuan Wang, Zhihong Chen, and Haifeng Hu. 2019 · 2019
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Anusri Pampari, Preethi Raghavan, Jennifer Liang, and Jian Peng. 2018 · 2018
Cited alongside, same era.
Deep Contextualized Word Representations
Matthew Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
Cited alongside, same era.
Relational recurrent neural networks
Adam Santoro, Ryan Faulkner, David Raposo, Jack Rae, Mike Chrzanowski, Theophane Weber, Daan Wierstra, Oriol Vinyals, Razvan Pascanu, and Timothy Lillicrap. 2018 · 2018
Cited alongside, same era.
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
Cited alongside, same era.
Coding Structures and Actions with the COSTA Scheme in Medical Conversations
Nan Wang, Yan Song, and Fei Xia. 2018 · 2018
Cited alongside, same era.
Topic Memory Networks for Short Text Classification
Jichuan Zeng, Jing Li, Yan Song, Cuiyun Gao, Michael R Lyu, and Irwin King. 2018 · 2018
Cited alongside, same era.
Zhihong Chen, Yan Song, Tsung-Hui Chang, and Xiang Wan. 2020 · 2020
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BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, Donghyeon Kim, Sunkyu Kim, Chan Ho So, and Jaewoo Kang. 2020 · 2020
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Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information
Yuyang Nie, Yuanhe Tian, Yan Song, Xiang Ao, and Xiang Wan. 2020 · 2020
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Summarizing Medical Conversations via Identifying Important Utterances
Yan Song, Yuanhe Tian, Nan Wang, and Fei Xia. 2020 · 2020
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Studying Challenges in Medical Conversation with Structured Annotation
Nan Wang, Yan Song, and Fei Xia. 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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Enhancing Aspect-level Sentiment Analysis with Word Dependencies
Yuanhe Tian, Guimin Chen, and Yan Song. 2021 · 2021
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Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhudinov, Rich Zemel, and Yoshua Bengio. 2015 · 2057
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