Semantically-Informed Domain Adaptation for Named Entity Recognition.
Mariya BorovikovaArnaud FerréRobert BossyMathieu RocheClaire NédellecPublished in: ISMIS (2024)
Keyphrases
- domain adaptation
- named entity recognition
- semi supervised
- information extraction
- labeled data
- natural language processing
- named entities
- text summarization
- semi supervised learning
- unlabeled data
- maximum entropy
- cross domain
- multiple sources
- conditional random fields
- co training
- natural language
- transfer learning
- document classification
- target domain
- artificial intelligence
- sentiment classification
- test data
- unsupervised learning
- information retrieval
- semantic information
- markov random field
- co occurrence
- text mining
- supervised learning
- probabilistic model
- active learning
- learning process
- training data
- pos tagging