Exploiting graph kernels for high performance biomedical relation extraction
Abstract Background Relation extraction from biomedical publications is an important task in the area of semantic mining of text. Kernel methods for supervised relation extraction are often preferred over manual feature engineering methods, when classifying highly ordered structures such as trees an...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2018-01-01
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Series: | Journal of Biomedical Semantics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13326-017-0168-3 |