A Novel Corpus of Annotated Medical Imaging Reports and Information Extraction Results Using BERT-based Language Models.
Namu ParkKevin LybargerGiridhar Kaushik RamachandranSpencer LewisAashka DamaniÖzlem UzunerMartin L. GunnMeliha YetisgenPublished in: LREC/COLING (2024)
Keyphrases
- medical imaging
- language model
- information extraction
- manually annotated
- relation extraction
- information retrieval
- medical images
- language modeling
- x ray
- multiword
- document level
- image registration
- image analysis
- n gram
- anatomical structures
- speech recognition
- medical image processing
- probabilistic model
- document retrieval
- imaging modalities
- named entities
- image processing and analysis
- natural language processing
- query expansion
- text mining
- question answering
- statistical language models
- language modelling
- named entity recognition
- free text
- retrieval model
- smoothing methods
- image guided surgery
- image segmentation
- image processing
- test collection
- computer vision
- semi structured
- volumetric data
- remote sensing
- machine learning
- context sensitive
- machine translation
- text documents
- vector space model
- relevance model
- biomedical engineering
- natural language
- query terms
- pseudo relevance feedback
- neural network
- web documents
- hand crafted
- pattern recognition
- language models for information retrieval
- bayesian networks
- co occurrence
- relevant documents
- document ranking
- translation model