MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective.
Xiao WangShihan DouLimao XiongYicheng ZouQi ZhangTao GuiLiang QiaoZhanzhan ChengXuanjing HuangPublished in: ACL (1) (2022)
Keyphrases
- named entity recognition
- information theoretic
- out of vocabulary
- named entities
- information extraction
- mutual information
- natural language processing
- semi supervised
- maximum entropy
- conditional random fields
- text summarization
- relation extraction
- question answering
- artificial intelligence
- unsupervised learning
- feature selection
- text mining
- computer vision
- pattern recognition
- model selection
- information retrieval
- image segmentation
- image analysis
- linguistic features
- data analysis