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. 2018 Mar 5;19:84. doi: 10.1186/s12859-018-2079-4

Table 1.

Overall text-mining performance with the residue filtering using semantic similarity of words in a residue-containing sentence to a generic concept in the WordNet vocabulary. For comparison, the results with basic residue filtering are also shown

Query Similarity measure L tot a L int b Coverage (%)c Success (%)d Accuracy (%)e ΔN(0)f ΔN(1)f
AND 128 108 22.1 18.7 84.4
OR 328 273 56.6 47.2 83.2
OR Lesk [39, 40] 319 267 55.1 46.1 83.7 -3 −1
OR Lin [41] 251 184 43.4 31.8 73.3 + 8 −8
OR Path [42, 43] 316 265 54.6 45.8 83.9 −3 + 1

aNumber of complexes for which TM protocol found at least one abstract with residues

bNumber of complexes with at least one interface residue found in abstracts

cRatio of Ltot and total number of complexes

dRatio of Lint and total number of complexes

eRatio of Lint and Ltot

fCalculated by Eq. (2)