MT-Clinical BERT: Scaling Clinical Information Extraction with Multitask Learning

21 April 2020

Papers citing "MT-Clinical BERT: Scaling Clinical Information Extraction with Multitask Learning"

16 / 16 papers shown

Title
RAMIE: Retrieval-Augmented Multi-task Information Extraction with Large Language Models on Dietary Supplements Zaifu Zhan Shuang Zhou Mingchen Li Rui Zhang RALM 72 5 0 24 Nov 2024
CTBench: A Comprehensive Benchmark for Evaluating Language Model Capabilities in Clinical Trial Design Nafis Neehal Bowen Wang Shayom Debopadhaya Soham Dan K. Murugesan Vibha Anand Kristin P. Bennett LM&MA ELM 44 1 0 25 Jun 2024
Building A Knowledge Graph to Enrich ChatGPT Responses in Manufacturing Service Discovery Yunqing Li B. Starly 27 11 0 09 Apr 2024
Can Large Language Models abstract Medical Coded Language? Simon A. Lee Timothy Lindsey ELM LM&MA 35 10 0 16 Mar 2024
A Question Answering Based Pipeline for Comprehensive Chinese EHR Information Extraction Huaiyuan Ying Sheng Yu MedIm 27 0 0 17 Feb 2024
Investigating Deep-Learning NLP for Automating the Extraction of Oncology Efficacy Endpoints from Scientific Literature Aline Gendrin-Brokmann Eden Harrison Julianne Noveras L. Souliotis Harris Vince ... Francisco Costa David Milward S. Dimitrievska Paul Metcalfe Emilie Louvet 15 0 0 03 Nov 2023
Literature Based Discovery (LBD): Towards Hypothesis Generation and Knowledge Discovery in Biomedical Text Mining Balu Bhasuran Gurusamy Murugesan J. Natarajan AI4CE 19 0 0 04 Oct 2023
Natural Language Processing in Electronic Health Records in Relation to Healthcare Decision-making: A Systematic Review Elias Hossain R. Rana N. Higgins J. Soar P. Barua Anthony R. Pisani Ph. D K. Turner 34 182 0 22 Jun 2023
SuMe: A Dataset Towards Summarizing Biomedical Mechanisms Mohaddeseh Bastan N. Shankar Mihai Surdeanu Niranjan Balasubramanian 23 3 0 10 May 2022
CLIN-X: pre-trained language models and a study on cross-task transfer for concept extraction in the clinical domain Lukas Lange Heike Adel Jannik Strötgen Dietrich Klakow AILaw LM&MA 17 19 0 16 Dec 2021
Neural Medication Extraction: A Comparison of Recent Models in Supervised and Semi-supervised Learning Settings A. Kocabiyikoglu François Portet Raheel Qader Jean-Marc Babouchkine MedIm 12 4 0 19 Oct 2021
Patient Outcome and Zero-shot Diagnosis Prediction with Hypernetwork-guided Multitask Learning Shaoxiong Ji Pekka Marttinen 21 5 0 07 Sep 2021
Pre-training Language Model Incorporating Domain-specific Heterogeneous Knowledge into A Unified Representation Hongyin Zhu Hao Peng Zhiheng Lyu Lei Hou Juan-Zi Li Jinghui Xiao 37 21 0 02 Sep 2021
AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing Katikapalli Subramanyam Kalyan A. Rajasekharan S. Sangeetha VLM LM&MA 26 261 0 12 Aug 2021
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review Irene Z Li Jessica Pan Jeremy Goldwasser Neha Verma Wai Pan Wong ... Matthew Zhang David Chang R. Taylor H. Krumholz Dragomir R. Radev BDL 19 154 0 07 Jul 2021
AMMU : A Survey of Transformer-based Biomedical Pretrained Language Models Katikapalli Subramanyam Kalyan A. Rajasekharan S. Sangeetha LM&MA MedIm 26 164 0 16 Apr 2021