Weak Supervision and Clustering-Based Sample Selection for Clinical Named Entity Recognition.
Wei SunShaoxiong JiTuulia DentiHans MoenOleg KerroAntti RannikkoPekka MarttinenMiika KoskinenPublished in: ECML/PKDD (6) (2023)
Keyphrases
- named entity recognition
- sample selection
- active learning
- named entities
- information extraction
- semi supervised
- natural language processing
- training data
- text summarization
- maximum entropy
- conditional random fields
- selection strategy
- annotated corpus
- co occurrence
- relation extraction
- classifier ensemble
- support vector machine
- data sets
- artificial intelligence
- machine learning
- higher order
- generative model
- question answering
- text mining
- classification accuracy
- training set
- learning algorithm