• Corpus ID: 15205659

Biomedical Semantic Indexing using Dense Word Vectors in BioASQ

@inproceedings{Kosmopoulos2015BiomedicalSI,
  title={Biomedical Semantic Indexing using Dense Word Vectors in BioASQ},
  author={Aris Kosmopoulos and Ion Androutsopoulos and Georgios Paliouras},
  year={2015}
}
Background: Biomedical curators are often required to semantically index large numbers of biomedical articles, using hierarchically related labels (e.g., MeSH headings). Large scale hierarchical classification, a branch of machine learning, can facilitate this procedure, but the resulting automatic classifiers are often inefficient because of the very large dimensionality of the dominant bag-of-words representation of texts. Feature selection quickly harms the accuracy of the classifiers in… 

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