SEE-Few: Seed, Expand and Entail for Few-shot Named Entity Recognition.
Zeng YangLinhai ZhangDeyu ZhouPublished in: CoRR (2022)
Keyphrases
- named entity recognition
- information extraction
- named entities
- natural language processing
- maximum entropy
- conditional random fields
- semi supervised
- text summarization
- video sequences
- sequence labeling
- annotated corpus
- visual features
- key frames
- classifier ensemble
- video data
- video content
- relation extraction
- hand coded
- text mining
- maximum entropy classifier
- machine learning
- chinese named entity recognition
- graphical models
- co occurrence
- data analysis
- object recognition
- feature extraction
- information retrieval