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Table 4 Results of the model that combines word-level and character-level representations (CHARPAIRS -SGNS) and the best performing single component models (CHARPAIRS and SGNS)

From: A deep learning approach to bilingual lexicon induction in the biomedical domain

  Development
  Words Phrases Words + Phrases
Representation F1 (top) F1 (all) F1 (top) F1 (all) F1 (top) F1 (all)
CHARPAIRS 31.95 32.32 23.70 25.97 31.39 31.92
sgns 23.83 26.36 17.37 17.08 25.77 25.81
CHARPAIRS -SGNS 34.57 33.61 18.18 23.29 33.47 32.99
  Test
  Words Phrases Words + Phrases
Representation F1 (top) F1 (all) F1 (top) F1 (all) F1 (top) F1 (all)
CHARPAIRS 30.70 32.19 31.82 30.61 30.81 32.15
sgns 22.80 24.41 26.74 27.14 23.10 24.62
CHARPAIRS -SGNS 34.34 34.60 23.17 26.59 33.60 34.15
  1. The best scores are indicated in bold