Multimodal fine-tuning of clinical language models for predicting COVID-19 outcomes.
Aron HenrikssonYash PawarPontus HedbergPontus NauclérPublished in: Artif. Intell. Medicine (2023)
Keyphrases
- language model
- fine tuning
- language modeling
- n gram
- language modelling
- document retrieval
- query expansion
- multi modal
- viable alternative
- information retrieval
- probabilistic model
- fine tune
- speech recognition
- context sensitive
- retrieval model
- statistical language models
- ad hoc information retrieval
- fine tuned
- relevance model
- test collection
- smoothing methods
- vector space model
- language models for information retrieval
- language model for information retrieval
- statistical language modeling
- query terms
- multimedia
- word error rate
- document length
- error rate
- bayesian networks