Relation extraction for colorectal cancer via deep learning with entity-aware feature orthogonal decomposition

Relation extraction is significant for text structuring of colorectal cancer (CRC) pathological reports to facilitate doctors’ disease diagnoses. Although many relation extraction methods have been extensively studied for various natural language processing applications, they cannot be well transfer...

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Vydané v:	Expert systems with applications Ročník 258; s. 125188
Hlavní autori:	Luo, Zhihao, Feng, Jianjun, Cai, Nian, Wang, Xiaodan, Liao, Jiacheng, Li, Quanqing, Peng, Fuqiang, Chen, Chuanwen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 15.12.2024
Predmet:	Colorectal cancer Feature orthogonal decomposition Pathological reports Relation extraction Stage-wise cross entropy Two-stream feature extraction Relation extraction Feature orthogonal decomposition Two-stream feature extraction Pathological reports Stage-wise cross entropy Colorectal cancer
ISSN:	0957-4174
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