R-TES: Regularized Template Style for Generative Joint Relational Triple Extraction.
Liqi ZhangLianhe YangYinhao BaiHongfei ZhuXingyu LiuPublished in: MLNLP (2023)
Keyphrases
- relational databases
- relational data
- template matching
- data model
- automatic extraction
- generative model
- least squares
- data driven
- relational learning
- database
- matching algorithm
- statistical relational learning
- relational model
- unsupervised learning
- multi relational
- knowledge extraction
- object oriented
- probabilistic model
- query language
- learning algorithm