An ensemble CNN method for biomedical entity normalization
2019-11-01WS 2019Code Available0· sign in to hype
Pan Deng, Haipeng Chen, Mengyao Huang, Xiaowen Ruan, Liang Xu
Code Available — Be the first to reproduce this paper.
ReproduceCode
- github.com/OXPHOS/BioNLPOfficialnone★ 0
Abstract
Different representations of the same concept could often be seen in scientific reports and publications. Entity normalization (or entity linking) is the task to match the different representations to their standard concepts. In this paper, we present a two-step ensemble CNN method that normalizes microbiology-related entities in free text to concepts in standard dictionaries. The method is capable of linking entities when only a small microbiology-related biomedical corpus is available for training, and achieved reasonable performance in the online test of the BioNLP-OST19 shared task Bacteria Biotope.