Adversarial Training Lattice LSTM for Named Entity Recognition of Rail Fault Texts.
Shuai SuJia QuYuan CaoRuoqing LiGuang WangPublished in: IEEE Trans. Intell. Transp. Syst. (2022)
Keyphrases
- named entity recognition
- information extraction
- named entities
- natural language processing
- text summarization
- semi supervised
- maximum entropy
- text documents
- genia corpus
- conditional random fields
- relation extraction
- supervised learning
- sequence labeling
- linguistic features
- natural language text
- training set
- natural language
- classifier ensemble
- annotated corpus
- proper names
- chinese named entity recognition
- information retrieval
- recurrent neural networks
- machine translation
- hidden markov models
- maximum entropy classifier
- neural network
- graphical models
- co occurrence
- text mining
- feature selection
- artificial intelligence
- machine learning