Unsupervised inference of implicit biomedical events using context triggers
Abstract Background Event extraction from the biomedical literature is one of the most actively researched areas in biomedical text mining and natural language processing. However, most approaches have focused on events within single sentence boundaries, and have thus paid much less attention to eve...
Main Authors: | Jin-Woo Chung, Wonsuk Yang, Jong C. Park |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2020-01-01
|
Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12859-020-3341-0 |
Similar Items
-
Unsupervised Domain Adaptation Network With Category-Centric Prototype Aligner for Biomedical Image Segmentation
by: Ping Gong, et al.
Published: (2021-01-01) -
A Study on the Development of Biotope Type and Evaluation Map of Gochang-gun
by: Jeong-Cheol Kim, et al.
Published: (2023-12-01) -
Unsupervised Event Characterization and Detection in Multichannel Signals: An EEG application
by: Angel Mur, et al.
Published: (2016-04-01) -
Unsupervised Quark/Gluon Jet Tagging With Poissonian Mixture Models
by: E. Alvarez, et al.
Published: (2022-03-01) -
Validating Syntactic Correctness Using Unsupervised Clustering Algorithms
by: Sanguk Noh, et al.
Published: (2022-07-01)