Generalizing over Long Tail Concepts for Medical Term Normalization

The Medical Dictionary for Regulatory Activities (MedDRA)

Elliot G Brown, Louise Wood, and Sue Wood. 1999 · 1999

Earlier work this paper cites.

The Unified Medical Language System (UMLS): Integrating Biomedical Terminology

Olivier Bodenreider. 2004 · 2004

Earlier work this paper cites.

Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing

Original

Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, and Hoifung Poon. 2020 · 2007

Earlier work this paper cites.

DNorm: Disease Name Normalization with Pairwise Learning to Rank

Robert Leaman, Rezarta Islamaj Doğan, and Zhiyong Lu. 2013 · 2013

Earlier work this paper cites.

Cadec: A Corpus of Adverse Drug Event Annotations

Sarvnaz Karimi, Alejandro Metke-Jimenez, Madonna Kemp, and Chenchen Wang. 2015 · 2015

Earlier work this paper cites.

Normalising Medical Concepts in Social Media Texts by Learning Semantic Representation

Nut Limsopatham and Nigel Collier. 2016 · 2016

Earlier work this paper cites.

CNN-based Ranking for Biomedical Entity Normalization

Haodi Li, Qingcai Chen, Buzhou Tang, Xiaolong Wang, Hua Xu, Baohua Wang, and Dong Huang. 2017 · 2017

Earlier work this paper cites.

Medical Concept Normalization in Social Media Posts with Recurrent Neural Networks

Elena Tutubalina, Zulfat Miftahutdinov, Sergey Nikolenko, and Valentin Malykh. 2018 · 2018

Earlier work this paper cites.

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019

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Multi-task Character-level Attentional Networks for Medical Concept Normalization

Jinghao Niu, Yehui Yang, Siheng Zhang, Zhengya Sun, and Wensheng Zhang. 2019 · 2019

Cited alongside, same era.

Language Models are Unsupervised Multitask Learners

Alec Radford, Jeff Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019

Cited alongside, same era.

Proceedings of the COLING Social Media Mining for Health Applications Workshop & Shared Task

Graciela Gonzalez-Hernandez, Ari Z. Klein, Ivan Flores, Davy Weissenbacher, Arjun Magge, Karen O’Connor, Abeed Sarker, Anne-Lyse Minard, Elena Tutubalina, Zulfat Miftahutdinov, and Ilseyar Alimova. 2020 · 2020

Cited alongside, same era.

Task-aware Representation of Sentences for Generic Text Classification

Kishaloy Halder, Alan Akbik, Josip Krapac, and Roland Vollgraf. 2020 · 2020

Cited alongside, same era.

SciFive: A Text-to-text Transformer Model for Biomedical Literature

Original

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Later among the works it cites.

BERT Prescriptions to Avoid Unwanted Headaches: A Comparison of Transformer Architectures for Adverse Drug Event Detection

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Later among the works it cites.

NADE: A Benchmark for Robust Adverse Drug Events Extraction in Face of Negations

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Later among the works it cites.

Knowledge-Rich Self-Supervised Entity Linking

Original

Sheng Zhang, Hao Cheng, Shikhar Vashishth, Cliff Wong, Jinfeng Xiao, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, and Hoifung Poon. 2021 · 2021

Later among the works it cites.

Increasing Adverse Drug Events Extraction Robustness on Social Media: Case Study on Negation and Speculation