Conference proceeding
Relation extraction from biomedical literature with minimal supervision and grouping strategy
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings, 444
01 Nov 2014
Abstract
Conference Title: 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Conference Start Date: 2014, Nov. 2 Conference End Date: 2014, Nov. 5 Conference Location: Belfast, United Kingdom We develop a novel distant supervised model that integrates the results from open information extraction techniques to perform relation extraction task from biomedical literature. Unlike state-of-the-art models for relation extraction in biomedical domain which are mainly based on supervised methods, our approach does not require manually-labeled instances. In addition, our model incorporates a grouping strategy to take into consideration the coordinating structure among entities co-occurred in one sentence. We apply our approach to extract gene expression relationship between genes and brain regions from literature. Results show that our methods can achieve promising performance over baselines of Transductive Support Vector Machine and with non-grouping strategy.
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Details
- Title
- Relation extraction from biomedical literature with minimal supervision and grouping strategy
- Creators
- Mengwen LiuYuan LingYuan AnXiaohua Hu
- Publication Details
- The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings, 444
- Publisher
- The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science (Informatics)
- Identifiers
- 991019170356104721