A Novel Sample Selection Strategy for Imbalanced Data of Biomedical Event Extraction with Joint Scoring Mechanism
Joint Authors
Lu, Yang
Ma, Xiaolei
Lu, Yinan
Zhou, Yuxin
Pei, Zhili
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-12-14
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Biomedical event extraction is an important and difficult task in bioinformatics.
With the rapid growth of biomedical literature, the extraction of complex events from unstructured text has attracted more attention.
However, the annotated biomedical corpus is highly imbalanced, which affects the performance of the classification algorithms.
In this study, a sample selection algorithm based on sequential pattern is proposed to filter negative samples in the training phase.
Considering the joint information between the trigger and argument of multiargument events, we extract triplets of multiargument events directly using a support vector machine classifier.
A joint scoring mechanism, which is based on sentence similarity and importance of trigger in the training data, is used to correct the predicted results.
Experimental results indicate that the proposed method can extract events efficiently.
American Psychological Association (APA)
Lu, Yang& Ma, Xiaolei& Lu, Yinan& Zhou, Yuxin& Pei, Zhili. 2016. A Novel Sample Selection Strategy for Imbalanced Data of Biomedical Event Extraction with Joint Scoring Mechanism. Computational and Mathematical Methods in Medicine،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1100195
Modern Language Association (MLA)
Lu, Yang…[et al.]. A Novel Sample Selection Strategy for Imbalanced Data of Biomedical Event Extraction with Joint Scoring Mechanism. Computational and Mathematical Methods in Medicine No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1100195
American Medical Association (AMA)
Lu, Yang& Ma, Xiaolei& Lu, Yinan& Zhou, Yuxin& Pei, Zhili. A Novel Sample Selection Strategy for Imbalanced Data of Biomedical Event Extraction with Joint Scoring Mechanism. Computational and Mathematical Methods in Medicine. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1100195
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1100195