A Multichannel Biomedical Named Entity Recognition Model Based on Multitask Learning and Contextualized Word Representations.
Hao WeiMingyuan GaoAi ZhouFei ChenWen QuYijia ZhangMingyu LuPublished in: Wirel. Commun. Mob. Comput. (2020)
Keyphrases
- named entity recognition
- multitask learning
- information extraction
- semi supervised
- named entities
- natural language processing
- gaussian processes
- named entity recognizer
- multi task
- text summarization
- multi task learning
- co occurrence
- learning tasks
- conditional random fields
- word sense disambiguation
- maximum entropy classifier
- labeled data
- text mining
- relation extraction
- maximum entropy
- annotated corpus
- semi supervised learning
- active learning
- machine learning
- gaussian process
- artificial intelligence
- unsupervised learning
- transfer learning
- question answering
- generative model
- knowledge representation
- learned models