CLINER: exploring task-relevant features and label semantic for few-shot named entity recognition.
Xuewei LiXinliang LiMankun ZhaoMing YangRuiguo YuMei YuJian YuPublished in: Neural Comput. Appl. (2024)
Keyphrases
- named entity recognition
- information extraction
- maximum entropy classifier
- sequence labeling
- named entities
- natural language processing
- maximum entropy
- feature extraction
- text summarization
- machine learning
- relation extraction
- conditional random fields
- semantic information
- semi supervised
- feature space
- co occurrence
- wordnet
- class labels
- low level
- feature vectors
- image segmentation
- annotated corpus
- information retrieval systems
- visual features
- knowledge discovery
- training set
- video sequences
- learning algorithm
- data mining