Can Embeddings Adequately Represent Medical Terminology? New Large-Scale Medical Term Similarity Datasets Have the Answer!
Claudia SchulzDamir JuricPublished in: CoRR (2020)
Keyphrases
- medical terminology
- distance measure
- similarity measure
- cosine similarity
- description logics
- medical diagnosis
- small scale
- benchmark datasets
- low dimensional
- vector space
- semantic similarity
- medical imaging
- euclidean distance
- real world
- database
- similarity function
- manifold learning
- binary codes
- scientific data analysis
- proceedings of the th international conference
- edit distance
- high dimensional data
- co occurrence
- medical domain
- answering queries
- machine learning