Inexpensive Domain Adaptation of Pretrained Language Models: A Case Study on Biomedical Named Entity Recognition.
Nina PörnerUlli WaltingerHinrich SchützePublished in: CoRR (2020)
Keyphrases
- language model
- domain adaptation
- named entity recognition
- semi supervised
- information extraction
- language modeling
- named entities
- information retrieval
- n gram
- natural language processing
- labeled data
- document retrieval
- probabilistic model
- text summarization
- text mining
- semi supervised learning
- cross domain
- test collection
- co training
- retrieval model
- conditional random fields
- unlabeled data
- multiple sources
- query expansion
- active learning
- pseudo relevance feedback
- test data
- target domain
- natural language
- supervised learning
- pairwise
- maximum entropy
- document classification
- sentiment classification
- machine learning
- pos taggers
- transfer learning
- question answering
- unsupervised learning
- generative model
- text classification
- training data
- artificial intelligence
- machine translation
- web documents
- domain specific
- learning process