A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
A Hybrid Method for Chinese Entity Relation Extraction
[chapter]
2014
Communications in Computer and Information Science
Entity relation extraction is an important task for information extraction, which refers to extracting the relation between two entities from input text. Previous researches usually converted this problem to a sequence labeling problem and used statistical models such as conditional random field model to solve it. This kind of method needs a large, high-quality training dataset. So it has two main drawbacks: 1) for some target relations, it is not difficult to get training instances, but the
doi:10.1007/978-3-662-45924-9_32
fatcat:tlq2entwzzc43kia4sfmslqlyu