Cross-lingual Candidate Search for Biomedical Concept Normalization
Table 3: Evaluation on Medline titles of Mantra. We compare performance to commercial translation tools (GB) for Spanish, French, Dutch, and German. Methods presented include mono-lingual and cross-lingual candidate search, as well as our and biomedical translation model (BTM) or Google Translate and Bing Translator (GB).
['Method', '[BOLD] SPA P', '[BOLD] SPA R', '[BOLD] SPA F1', '[BOLD] FRE P', '[BOLD] FRE R', '[BOLD] FRE F1', '[BOLD] DUT P', '[BOLD] DUT R', '[BOLD] DUT F1', '[BOLD] GER P', '[BOLD] GER R', '[BOLD] GER F1']
The main reason for that is the boost of recall which leads, in combination with a good disambiguation, to a high precision and thus to an improved F1.