TBR-NER: Research on COVID-19 Text Information Extraction Based on Joint Learning of Topic Recognition and Named Entity Recognition.
Xin FengYingrui LiZhang HangZhang FanQiong YuRuihao XinPublished in: J. Sensors (2022)
Keyphrases
- named entity recognition
- information extraction
- text summarization
- hand coded
- named entities
- natural language processing
- chinese named entity recognition
- conditional random fields
- text mining
- learning process
- text documents
- proper names
- relation extraction
- information retrieval
- maximum entropy
- semi supervised
- sequence labeling
- prior knowledge
- learning algorithm
- named entity recognizer
- annotated corpus
- question answering
- active learning
- natural language text
- unsupervised learning
- semantic relations
- keywords
- reinforcement learning
- object recognition
- classifier ensemble
- feature extraction
- topic models
- dimensionality reduction
- maximum entropy classifier
- named entity disambiguation