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BioNLP - 2022
Total Papers:- 44
Total Papers accross all years:- 501
Total Citations :- 0
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Data Augmentation for Rare Symptoms in Vaccine Side-Effect Detection
Bosung Kim |
Ndapa Nakashole |
Intra-Template Entity Compatibility based Slot-Filling for Clinical Trial Information Extraction
Christian Witte |
Philipp Cimiano |
Towards Generalizable Methods for Automating Risk Score Calculation
Jennifer J Liang |
Eric Lehman |
Ananya Iyengar |
Diwakar Mahajan |
Preethi Raghavan |
Cindy Y. Chang |
Peter Szolovits |
Explainable Assessment of Healthcare Articles with QA
Alodie Boissonnet |
Marzieh Saeidi |
Vassilis Plachouras |
Andreas Vlachos |
Biomedical NER using Novel Schema and Distant Supervision
Anshita Khandelwal |
Alok Kar |
Veera Raghavendra Chikka |
Kamalakar Karlapalem |
Doctor XAvIer: Explainable Diagnosis on Physician-Patient Dialogues and XAI Evaluation
Hillary Ngai |
Frank Rudzicz |
Quantifying Clinical Outcome Measures in Patients with Epilepsy Using the Electronic Health Record
Kevin Xie |
Brian Litt |
Dan Roth |
Colin A. Ellis |
Position-based Prompting for Health Outcome Generation
Micheal Abaho |
Danushka Bollegala |
Paula Williamson |
Susanna Dodd |
Improving Supervised Drug-Protein Relation Extraction with Distantly Supervised Models
Naoki Iinuma |
Makoto Miwa |
Yutaka Sasaki |
Overview of the MedVidQA 2022 Shared Task on Medical Video Question-Answering
Deepak Gupta |
Dina Demner-Fushman |
BEEDS: Large-Scale Biomedical Event Extraction using Distant Supervision and Question Answering
Xing David Wang |
Ulf Leser |
Leon Weber |
Incorporating Medical Knowledge to Transformer-based Language Models for Medical Dialogue Generation
Usman Naseem |
Ajay Bandi |
Shaina Raza |
Junaid Rashid |
Bharathi Raja Chakravarthi |
BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model
Hongyi Yuan |
Zheng Yuan |
Ruyi Gan |
Jiaxing Zhang |
Yutao Xie |
Sheng Yu |
Model Distillation for Faithful Explanations of Medical Code Predictions
Zach Wood-Doughty |
Isabel Cachola |
Mark Dredze |
SNP2Vec: Scalable Self-Supervised Pre-Training for Genome-Wide Association Study
Samuel Cahyawijaya |
Tiezheng Yu |
Zihan Liu |
Xiaopu Zhou |
Tze Wing Tiffany Mak |
Yuk Yu Nancy Ip |
Pascale Fung |
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