3 papers
cs.CL2021
A Novel Global Feature-Oriented Relational Triple Extraction Model based on Table Filling
Feiliang Ren, Longhui Zhang, Shujuan Yin +4
Table filling based relational triple extraction methods are attracting growing research interests due to their promising performance and their abilities on extracting triples from…
cs.CL2021
A Conditional Cascade Model for Relational Triple Extraction
Feiliang Ren, Longhui Zhang, Shujuan Yin +3
Tagging based methods are one of the mainstream methods in relational triple extraction. However, most of them suffer from the class imbalance issue greatly. Here we propose a nove…
cs.CL2021
An Effective System for Multi-format Information Extraction
Yaduo Liu, Longhui Zhang, Shujuan Yin +2
The multi-format information extraction task in the 2021 Language and Intelligence Challenge is designed to comprehensively evaluate information extraction from different dimension…