Multi level causal relation identification using extended features

作者：

Highlights：

• A relation extractor is developed to extract all relation candidates from sentence.

• Features explored from lexical semantic resources may improve performance.

• Feature selection may enhance performance and reduce computational complexity.

摘要

•A relation extractor is developed to extract all relation candidates from sentence.•Features explored from lexical semantic resources may improve performance.•Feature selection may enhance performance and reduce computational complexity.

论文关键词：Machine learning,Knowledge acquisition,Text mining,Information extraction

论文评审过程：Available online 9 June 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.05.044