Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction.
Maosen ZhangQinyuan YeLiyuan LiuXiang RenPublished in: CoRR (2019)
Keyphrases
- data points
- label noise
- relation extraction
- active learning
- automatic extraction
- information extraction
- multiple instance learning
- named entities
- noise tolerant
- training data
- domain specific
- semantic relations
- supervised learning
- learning algorithm
- machine learning
- question answering
- semi supervised
- named entity recognition
- noise model
- feature selection
- semantic features
- natural language processing
- support vector
- data sets
- co occurrence
- object recognition