MLNER: Exploiting Multi-source Lexicon Information Fusion for Named Entity Recognition in Chinese Medical Text.
Yinlong XiaoQing ZhaoJianqiang LiJieqing ChenZhenning ChengPublished in: COMPSAC (2021)
Keyphrases
- information fusion
- multi source
- text summarization
- named entity recognition
- data fusion
- information extraction
- natural language processing
- named entities
- fusion algorithm
- conditional random fields
- soft computing
- fusion method
- semi supervised
- named entity disambiguation
- maximum entropy
- text mining
- relation extraction
- query expansion
- domain specific
- text documents
- natural language
- named entity recognizer
- fusion process
- database
- question answering
- annotated corpus
- neural network
- information retrieval
- decision making
- pattern recognition
- intelligent systems