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Table 12 Technologies used in Task 1a from the participating systems along with the feature representation of the documents

From: An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition

Reference Approach Technologies Features
[32] flat SVMs, MetaLabeler [44] unigrams, bigrams
[37] hierarchical SVMs, Bayes networks unigrams, bigrams
[45] flat MetaMap [46], unigrams
   information retrieval,  
   search engines  
[48] flat k-NN, SVMs unigrams, bigrams,
    trigrams
[49] flat k-NN, learning-to-rank unigrams
  1. Unigrams, bigrams and trigrams refer to the word level.