Supervised Neural Models Revitalize the Open Relation Extraction.
Shengbin JiaShijia EYang XiangPublished in: CoRR (2019)
Keyphrases
- relation extraction
- neural models
- automatic extraction
- information extraction
- named entities
- semantic relations
- neural model
- domain specific
- bio inspired
- question answering
- neural network model
- named entity recognition
- neural network
- semi supervised
- semantic features
- artificial neural networks
- learning algorithm
- recurrent neural networks
- spiking neural networks
- co occurrence
- feature selection
- tree kernels
- unsupervised learning
- maximum entropy
- general purpose
- natural language processing
- supervised learning
- pairwise
- reinforcement learning
- high level
- machine learning