The 3rd Clinical Natural Language Processing Workshop
At EMNLP 2020. November 19, 2020.
Clinical NLP will be held online at EMNLP 2020. We will be using the tools recommended by EMNLP, specifically:
In sum, the workshop will be hosted on Zoom. Q&A sessions will also be in Zoom, but questions should be posted to the rocket chat. Posters will be in Gather.Town. If in doubt, join the Zoom session linked above at the beginning of the day, and check out the Rocket Chat for clarifications.
NOTE: It is possible to be logged in to both Gather.town and Zoom at the same time, but participants should ensure that they set themselves to "red"/busy mode status in Gather.town to avoid audio feedback issues.
19 Nov 2020 (all times EST) | |
| 08:45–10:00 | Opening Session |
| 08:45–09:00 | Opening Remarks |
| 09:00–09:45 | Keynote Talk: Deep Learning is Conquering Human Tasks. How Far Can it Go in Medicine? Advances, Challenges, and Future Directions Hong Yu |
| 09:45–10:00 | Keynote Q&A Hong Yu |
| 10:00–10:40 | Oral Session 1 |
| 10:00–10:05 | Various Approaches for Predicting Stroke Prognosis using Magnetic Resonance Imaging Text Records Tak-Sung Heo, Chulho Kim, Jeong-Myeong Choi, Yeong-Seok Jeong and Yu-Seop Kim |
| 10:05–10:15 | Multiple Sclerosis Severity Classification From Clinical Text Alister D’Costa, Stefan Denkovski, Michal Malyska, Sae Young Moon, Brandon Rufino, Zhen Yang, Taylor Killian and Marzyeh Ghassemi |
| 10:15–10:25 | BERT-XML: Large Scale Automated ICD Coding Using BERT Pretraining Zachariah Zhang, Jingshu Liu and Narges Razavian |
| 10:25–10:40 | Oral Session 1: Q&A |
| 10:40–10:50 | Coffee Break |
| 10:50–11:40 | Oral Session 2 |
| 10:50–10:55 | Incorporating Risk Factor Embeddings in Pre-trained Transformers Improves Sentiment Prediction in Psychiatric Discharge Summaries Xiyu Ding, Mei-Hua Hall and Timothy Miller |
| 10:55–11:05 | Information Extraction from Swedish Medical Prescriptions with Sig-Transformer Encoder John Pougué Biyong, Bo Wang, Terry Lyons and Alejo Nevado-Holgado |
| 11:05–11:15 | Evaluation of Transfer Learning for Adverse Drug Event (ADE) and Medication Entity Extraction Sankaran Narayanan, Kaivalya Mannam, Sreeranga P Rajan and P Venkat Rangan |
| 11:15–11:25 | BioBERTpt - A Portuguese Neural Language Model for Clinical Named Entity Recognition 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 and Cláudia Maria Cabral Moro Barra |
| 11:25–11:40 | Oral Session 2: Q&A |
| 11:40–12:00 | Poster Teasers |
| 11:40–11:41 | Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text Shaoxiong Ji, Erik Cambria and Pekka Marttinen |
| 11:41–11:42 | Classification of Syncope Cases in Norwegian Medical Records Ildiko Pilan, Pål H. Brekke, Fredrik A. Dahl, Tore Gundersen, Haldor Husby, Øystein Nytrø and Lilja Øvrelid |
| 11:42–11:43 | Comparison of Machine Learning Methods for Multi-label Classification of Nursing Education and Licensure Exam Questions John Langton, Krishna Srihasam and Junlin Jiang |
| 11:43–11:44 | Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation Kexin Huang, Abhishek Singh, Sitong Chen, Edward Moseley, Chih-Ying Deng, Naomi George and Charolotta Lindvall |
| 11:44–11:45 | Automatic recognition of abdominal lymph nodes from clinical text Yifan Peng, Sungwon Lee, Daniel C. Elton, Thomas Shen, Yu-xing Tang, Qingyu Chen, Shuai Wang, Yingying Zhu, Ronald Summers and Zhiyong Lu |
| 11:45–11:46 | How You Ask Matters: The Effect of Paraphrastic Questions to BERT Performance on a Clinical SQuAD Dataset Sungrim (Riea) Moon and Jungwei Fan |
| 11:46–11:47 | Relative and Incomplete Time Expression Anchoring for Clinical Text Louise Dupuis, Nicol Bergou, Hegler Tissot and Sumithra Velupillai |
| 11:47–11:48 | MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining Zhi Wen, Xing Han Lu and Siva Reddy |
| 11:48–11:49 | Knowledge Grounded Conversational Symptom Detection with Graph Memory Networks Hongyin Luo, Shang-Wen Li and James Glass |
| 11:49–11:50 | Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-Art Patrick Lewis, Myle Ott, Jingfei Du and Veselin Stoyanov |
| 11:50–11:51 | Assessment of DistilBERT performance on Named Entity Recognition task for the detection of Protected Health Information and medical concepts Macarious Abadeer |
| 11:51–11:52 | Distinguishing between Dementia with Lewy bodies (DLB) and Alzheimer’s Disease (AD) using Mental Health Records: a Classification Approach Zixu Wang, Julia Ive, Sinead Moylett, Christoph Mueller, Rudolf Cardinal, Sumithra Velupillai, John O’Brien and Robert Stewart |
| 11:52–11:53 | Weakly Supervised Medication Regimen Extraction from Medical Conversations Dhruvesh Patel, Sandeep Konam and Sai Prabhakar |
| 11:53–11:54 | Extracting Relations between Radiotherapy Treatment Details Danielle Bitterman, Timothy Miller, David Harris, Chen Lin, Sean Finan, Jeremy Warner, Raymond Mak and Guergana Savova |
| 11:54–11:55 | Cancer Registry Information Extraction via Transfer Learning 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 and Sheau-Fang Yang |
| 11:55–11:56 | PHICON: Improving Generalization of Clinical Text De-identification Models via Data Augmentation Xiang Yue and Shuang Zhou |
| 11:56–11:57 | Where’s the Question? A Multi-channel Deep Convolutional Neural Network for Question Identification in Textual Data George Michalopoulos, Helen Chen and Alexander Wong |
| 11:57–11:58 | Learning from Unlabelled Data for Clinical Semantic Textual Similarity Yuxia Wang, Karin Verspoor and Timothy Baldwin |
| 11:58–11:59 | Joint Learning with Pre-trained Transformer on Named Entity Recognition and Relation Extraction Tasks for Clinical Analytics Miao Chen, Ganhui Lan, Fang Du and Victor Lobanov |
| 12:00–13:20 | Poster Session & Lunch |
| 13:20–14:10 | Oral Session 3 |
| 13:20–13:25 | Extracting Semantic Aspects for Structured Representation of Clinical Trial Eligibility Criteria Tirthankar Dasgupta, Ishani Mondal, abir naskar and Lipika Dey |
| 13:25–13:35 | An Ensemble Approach to Automatic Structuring of Radiology Reports Morteza Pourreza Shahri, Amir Tahmasebi, Bingyang Ye, Henghui Zhu, Javed Aslam and Timothy Ferris |
| 13:35–13:45 | Utilizing Multimodal Feature Consistency to Detect Adversarial Examples on Clinical Summaries Wenjie Wang, Youngja Park, Taesung Lee, Ian Molloy, Pengfei Tang and Li Xiong |
| 13:45–13:55 | Advancing Seq2seq with Joint Paraphrase Learning So Yeon Min, Preethi Raghavan and Peter Szolovits |
| 13:55–14:10 | Oral Session 3: Q&A |
| 14:10–14:55 | EMNLP Findings Session 1 |
| 14:10–14:15 | Learning to Generate Clinically Coherent Chest X-Ray Reports Justin Lovelace, Bobak Mortazavi |
| 14:15–14:20 | Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays Jianmo Ni, Chun-Nan Hsu, Amilcare Gentili, Julian McAuley |
| 14:20–14:30 | Characterizing the Value of Information in Medical Notes Chao-Chun Hsu, Shantanu Karnwal, Sendhil Mullainathan, Ziad Obermeyer, Chenhao Tan |
| 14:30–14:40 | PharmMT: A Neural Machine Translation Approach to Simplify Prescription Directions Jiazhao Li, Corey Lester, Xinyan Zhao, Yuting Ding, Yun Jiang, V.G.Vinod Vydiswaran |
| 14:40–14:55 | EMNLP Findings Session 1: Q&A |
| 14:55–15:05 | Coffee Break |
| 15:05–15:50 | EMNLP Findings Session 2 |
| 15:05–15:15 | A Dual-Attention Network for Joint Named Entity Recognition and Sentence Classification of Adverse Drug Events Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Xiangnan Kong, Elke A. Rundensteiner |
| 15:15–15:25 | Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures Anirudh Joshi, Namit Katariya, Xavier Amatriain, Anitha Kannan |
| 15:25–15:35 | Generating Accurate Electronic Health Assessment from Medical Graph Zhichao Yang, Hong Yu |
| 15:35–15:50 | EMNLP Findings Session 2: Q&A |
| 15:50–16:35 | Best Paper Session |
| 15:50–16:00 | On the diminishing return of labeling clinical reports Jean-Baptiste Lamare, Oloruntobiloba Olatunji and Li Yao |
| 16:00–16:10 | The Chilean Waiting List Corpus: a new resource for clinical Named Entity Recognition in Spanish Pablo Báez, Fabián Villena, Matías Rojas, Manuel Durán and Jocelyn Dunstan |
| 16:10–16:20 | Analyzing Text Specific vs Blackbox Fairness Algorithms in Multimodal Clinical NLP John Chen, Ian Berlot-Attwell, Xindi Wang, Safwan Hossain and Frank Rudzicz |
| 16:20–16:35 | Best Paper Session: Q&A |
| 16:35–16:50 | Concluding Session |