Fine-tuning large neural language models for biomedical natural language processing.
Robert TinnHao ChengYu GuNaoto UsuyamaXiaodong LiuTristan NaumannJianfeng GaoHoifung PoonPublished in: Patterns (2023)
Keyphrases
- language model
- fine tuning
- natural language processing
- information extraction
- text mining
- language modeling
- information retrieval
- document retrieval
- n gram
- machine learning
- probabilistic model
- retrieval model
- test collection
- language modelling
- named entity recognition
- query expansion
- wordnet
- question answering
- speech recognition
- natural language
- machine translation
- named entities
- fine tuned
- word sense disambiguation
- free text
- statistical language models
- smoothing methods
- pseudo relevance feedback
- text summarization
- context sensitive
- semantic relations
- language processing
- relevance model
- term dependencies
- ad hoc information retrieval
- knowledge representation
- document length
- language models for information retrieval
- statistical language modeling
- retrieval effectiveness
- sentiment analysis
- text classification
- knowledge discovery