Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios.
Ngoc Dang NguyenLan DuWray L. BuntineChangyou ChenRichard BearePublished in: CoRR (2022)
Keyphrases
- named entities
- domain adaptation
- information extraction
- co training
- text mining
- named entity recognition
- genia corpus
- natural language processing
- co occurrence
- relation extraction
- document classification
- cross domain
- sentiment classification
- semi supervised
- question answering
- labeled data
- transfer learning
- text documents
- multiple sources
- text classification
- semi supervised learning
- real world
- unsupervised learning
- unlabeled data
- annotated corpus
- data sets
- machine learning
- target domain
- artificial intelligence
- learning process
- test data
- search engine
- object recognition
- learning algorithm
- information retrieval
- active learning
- data mining
- knowledge discovery