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