SANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised Named Entity Recognition.
Shuzheng SiZefan CaiShuang ZengGuoqiang FengJiaxing LinBaobao ChangPublished in: CoRR (2023)
Keyphrases
- named entity recognition
- annotated corpus
- semi supervised
- named entities
- information extraction
- natural language processing
- sequence labeling
- noisy data
- text summarization
- conditional random fields
- relation extraction
- maximum entropy
- active learning
- supervised learning
- weakly supervised
- unsupervised learning
- automatic annotation
- classifier ensemble
- feature selection
- co occurrence
- pairwise
- learning algorithm
- semantic annotation
- graphical models
- markov random field
- image retrieval
- chinese named entity recognition