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