Exploiting Task-Oriented Resources to Learn Word Embeddings for Clinical
Abbreviation Expansion

Exploiting Task-Oriented Resources to Learn Word Embeddings for Clinical Abbreviation Expansion

11 April 2018

Heng Ji

Papers citing "Exploiting Task-Oriented Resources to Learn Word Embeddings for Clinical Abbreviation Expansion"

7 / 7 papers shown

Title
A Biomedical Entity Extraction Pipeline for Oncology Health Records in Portuguese Hugo Sousa Arian Pasquali A. Jorge Catarina Sousa Santos Mário Amorim Lopes 28 1 0 18 Apr 2023
MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining Zhi Wen Xing Han Lù Siva Reddy AI4MH AI4CE 30 37 0 27 Dec 2020
SECNLP: A Survey of Embeddings in Clinical Natural Language Processing Katikapalli Subramanyam Kalyan S. Sangeetha 17 81 0 04 Mar 2019
Using natural language processing techniques to extract information on the properties and functionalities of energetic materials from large text corpora Daniel C. Elton D. Turakhia N. Reddy Zois Boukouvalas M. Fuge R. Doherty Peter W. Chung 24 18 0 01 Mar 2019
Seq2RDF: An end-to-end application for deriving Triples from Natural Language Text Yue Liu Tongtao Zhang Zhicheng Liang Heng Ji D. McGuinness 3DV 27 20 0 04 Jul 2018
Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Data Andrew L. Beam Benjamin Kompa A. Schmaltz Inbar Fried G. Weber N. Palmer Xu Shi Tianxi Cai I. Kohane 24 176 0 04 Apr 2018
Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis B. Shickel P. Tighe A. Bihorac Parisa Rashidi BDL 31 1,094 0 12 Jun 2017