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ORCID3rd ClinicalNLP@EMNLP 2020: Online,
- Anna Rumshisky, Kirk Roberts, Steven Bethard, Tristan Naumann:
Proceedings of the 3rd Clinical Natural Language Processing Workshop, ClinicalNLP@EMNLP 2020, Online, November 19, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-74-3 - Tak-Sung Heo
, Chulho Kim, Jeong-Myeong Choi, Yeong-Seok Jeong, Yu-Seop Kim:
Various Approaches for Predicting Stroke Prognosis using Magnetic Resonance Imaging Text Records. 1-6 - Alister D. Costa, Stefan Denkovski, Michal Malyska, Sae Young Moon, Brandon Rufino, Zhen Yang, Taylor W. Killian, Marzyeh Ghassemi:
Multiple Sclerosis Severity Classification From Clinical Text. 7-23 - Zachariah Zhang, Jingshu Liu, Narges Razavian:
BERT-XML: Large Scale Automated ICD Coding Using BERT Pretraining. 24-34 - Xiyu Ding, Mei-Hua Hall, Timothy A. Miller:
Incorporating Risk Factor Embeddings in Pre-trained Transformers Improves Sentiment Prediction in Psychiatric Discharge Summaries. 35-40 - John Pougue Biyong, Bo Wang, Terry J. Lyons, Alejo J. Nevado-Holgado:
Information Extraction from Swedish Medical Prescriptions with Sig-Transformer Encoder. 41-54 - Sankaran Narayanan, Kaivalya Mannam, Sreeranga P. Rajan, P. Venkat Rangan:
Evaluation of Transfer Learning for Adverse Drug Event (ADE) and Medication Entity Extraction. 55-64 - Elisa Terumi Rubel Schneider, João Vitor Andrioli de Souza, Julien Knafou, Lucas Emanuel Silva e Oliveira, Jenny Copara, Yohan Bonescki Gumiel, Lucas Ferro Antunes de Oliveira, Emerson Cabrera Paraiso, Douglas Teodoro, Claudia Maria Cabral Moro Barra:
BioBERTpt - A Portuguese Neural Language Model for Clinical Named Entity Recognition. 65-72 - Shaoxiong Ji, Erik Cambria, Pekka Marttinen:
Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text. 73-78 - Ildikó Pilán, Pål H. Brekke, Fredrik A. Dahl, Tore Gundersen, Haldor Husby, Øystein Nytrø, Lilja Øvrelid:
Classification of Syncope Cases in Norwegian Medical Records. 79-84 - John T. Langton, Krishna Srihasam, Junlin Jiang:
Comparison of Machine Learning Methods for Multi-label Classification of Nursing Education and Licensure Exam Questions. 85-93 - Kexin Huang, Abhishek Singh, Sitong Chen, Edward T. Moseley, Chih-ying Deng, Naomi George, Charlotta Lindvall:
Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation. 94-100 - Yifan Peng, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Yuxing Tang, Qingyu Chen, Shuai Wang, Yingying Zhu, Ronald M. Summers, Zhiyong Lu:
Automatic recognition of abdominal lymph nodes from clinical text. 101-110 - Sungrim Moon, Jungwei Fan:
How You Ask Matters: The Effect of Paraphrastic Questions to BERT Performance on a Clinical SQuAD Dataset. 111-116 - Louise Dupuis, Nicol Bergou, Hegler Tissot, Sumithra Velupillai:
Relative and Incomplete Time Expression Anchoring for Clinical Text. 117-129 - Zhi Wen, Xing Han Lù, Siva Reddy:
MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining. 130-135 - Hongyin Luo, Shang-Wen Li, James R. Glass:
Knowledge Grounded Conversational Symptom Detection with Graph Memory Networks. 136-145 - Patrick Lewis, Myle Ott, Jingfei Du, Veselin Stoyanov:
Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-Art. 146-157 - Macarious Abadeer:
Assessment of DistilBERT performance on Named Entity Recognition task for the detection of Protected Health Information and medical concepts. 158-167 - Zixu Wang, Julia Ive, Sinead Moylett, Christoph Mueller, Rudolf N. Cardinal, Sumithra Velupillai, John O'Brien, Robert Stewart:
Distinguishing between Dementia with Lewy bodies (DLB) and Alzheimer's Disease (AD) using Mental Health Records: a Classification Approach. 168-177 - Dhruvesh Patel, Sandeep Konam, Sai P. Selvaraj:
Weakly Supervised Medication Regimen Extraction from Medical Conversations. 178-193 - Danielle S. Bitterman, Timothy Miller, David Harris, Chen Lin, Sean Finan, Jeremy L. Warner, Raymond H. Mak, Guergana Savova:
Extracting Relations between Radiotherapy Treatment Details. 194-200 - Yan-Jie Lin, Hong-Jie Dai, You-Chen Zhang, Chung-Yang Wu, Yu-Cheng Chang, Pin-Jou Lu, Chih-Jen Huang, Yu-Tsang Wang, Hui-Min Hsieh, Kun-San Chao, Tsang-Wu Liu, I-Shou Chang, Yi-Hsin Connie Yang, Ti-Hao Wang, Ko-Jiunn Liu, Li-Tzong Chen, Sheau-Fang Yang:
Cancer Registry Information Extraction via Transfer Learning. 201-208 - Xiang Yue, Shuang Zhou:
PHICON: Improving Generalization of Clinical Text De-identification Models via Data Augmentation. 209-214 - George Michalopoulos, Helen H. Chen, Alexander Wong:
Where's the Question? A Multi-channel Deep Convolutional Neural Network for Question Identification in Textual Data. 215-226 - Yuxia Wang, Karin Verspoor, Timothy Baldwin:
Learning from Unlabelled Data for Clinical Semantic Textual Similarity. 227-233 - Miao Chen, Ganhui Lan, Fang Du, Victor S. Lobanov:
Joint Learning with Pre-trained Transformer on Named Entity Recognition and Relation Extraction Tasks for Clinical Analytics. 234-242 - Tirthankar Dasgupta, Ishani Mondal, Abir Naskar, Lipika Dey:
Extracting Semantic Aspects for Structured Representation of Clinical Trial Eligibility Criteria. 243-248 - Morteza Pourreza Shahri, Amir Tahmasebi, Bingyang Ye, Henghui Zhu, Javed Aslam, Timothy Ferris:
An Ensemble Approach for Automatic Structuring of Radiology Reports. 249-258 - Wenjie Wang, Youngja Park, Taesung Lee, Ian M. Molloy, Pengfei Tang, Li Xiong:
Utilizing Multimodal Feature Consistency to Detect Adversarial Examples on Clinical Summaries. 259-268 - So Yeon Min, Preethi Raghavan, Peter Szolovits:
Advancing Seq2seq with Joint Paraphrase Learning. 269-279 - Jean-Baptiste Lamare, Tobi Olatunji, Li Yao:
On the diminishing return of labeling clinical reports. 280-290 - Pablo Báez, Fabián Villena, Matías Rojas, Manuel Durán, Jocelyn Dunstan:
The Chilean Waiting List Corpus: a new resource for clinical Named Entity Recognition in Spanish. 291-300 - John Chen, Ian Berlot-Attwell, Xindi Wang, Safwan Hossain, Frank Rudzicz:
Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP. 301-312
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