Incorporating rich background knowledge for gene named entity classification and recognition
<p>Abstract</p> <p>Background</p> <p>Gene named entity classification and recognition are crucial preliminary steps of text mining in biomedical literature. Machine learning based methods have been used in this area with great success. In most state-of-the-art systems,...
Main Authors: | Yang Zhihao, Lin Hongfei, Li Yanpeng |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2009-07-01
|
Series: | BMC Bioinformatics |
Online Access: | http://www.biomedcentral.com/1471-2105/10/223 |
Similar Items
-
Named entity recognition and classification in search queries
by: Alasiry, Areej Mohammed
Published: (2015) -
Incorporating Name Entity Recognition Rules in News Topic Model
by: HSIAO, WEI-CHING, et al.
Published: (2016) -
Integrating various resources for gene name normalization.
by: Yuncui Hu, et al.
Published: (2012-01-01) -
Knowledge-enhanced biomedical named entity recognition and normalization: application to proteins and genes
by: Huiwei Zhou, et al.
Published: (2020-01-01) -
Disease named entity recognition from biomedical literature using a novel convolutional neural network
by: Zhehuan Zhao, et al.
Published: (2017-12-01)