SANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised Named Entity Recognition.
Shuzheng SiZefan CaiShuang ZengGuoqiang FengJiaxing LinBaobao ChangPublished in: ACL (Findings) (2023)
Keyphrases
- named entity recognition
- annotated corpus
- semi supervised
- information extraction
- named entities
- sequence labeling
- natural language processing
- conditional random fields
- noisy data
- text summarization
- maximum entropy
- relation extraction
- active learning
- learning algorithm
- classifier ensemble
- unsupervised learning
- pairwise
- weakly supervised
- image annotation
- semantic annotation
- proper names
- databases
- maximum entropy classifier
- automatic annotation
- feature selection
- supervised learning
- training data
- decision trees
- machine learning