Reinforcement Learning for Named Entity Recognition from Noisy Data.
Jing WanHaoming LiLei HouJuaizi LiPublished in: NLPCC (1) (2020)
Keyphrases
- noisy data
- named entity recognition
- reinforcement learning
- information extraction
- named entities
- natural language processing
- semi supervised
- text summarization
- maximum entropy
- conditional random fields
- noise tolerant
- machine learning
- relation extraction
- classifier ensemble
- missing data
- annotated corpus
- noise free
- high dimensional
- input data
- learning algorithm
- learning process
- supervised learning
- training data
- maximum entropy classifier
- learning from noisy data
- unsupervised learning
- co occurrence
- decision trees
- high dimensionality
- high dimensional data
- text mining
- data analysis
- pattern recognition
- artificial intelligence