Self-Supervised Intermediate Fine-Tuning of Biomedical Language Models for Interpreting Patient Case Descriptions.
Israa AlghanmiLuis Espinosa AnkeSteven SchockaertPublished in: COLING (2022)
Keyphrases
- language model
- fine tuning
- language modeling
- probabilistic model
- n gram
- retrieval model
- document retrieval
- information retrieval
- language modelling
- speech recognition
- fine tune
- statistical language models
- smoothing methods
- test collection
- viable alternative
- language model for information retrieval
- context sensitive
- query expansion
- document ranking
- query specific
- vector space model
- relevance model
- document length
- language models for information retrieval
- machine learning
- translation model
- information extraction
- word error rate
- natural language
- ad hoc information retrieval