Onto.PT: Towards the Automatic Construction of a Lexical Ontology ...

7.2. Ontologising performance 127
% of N Algorithm Precision (%) Recall (%) F1(%) F0.5(%) RF1(%)
RP 90.0 82.6 86.1 88.4 90.0
AC 93.3 90.0 91.6 92.6 93.3
RP+AC 96.6 92.8 94.8 95.8 96.6
50% NT 94.0 86.1 89.9 92.3 94.0
NT+AC 95.9 88.1 91.8 94.2 95.9
PR 70.6 73.4 72.0 71.1 70.6
MD 73.1 85.3 78.8 75.2 73.1
RP 87.0 61.4 72.0 80.3 82.2
AC 90.6 84.1 87.2 89.2 90.6
RP+AC 93.5 89.3 91.3 92.6 93.5
25% NT 91.3 78.4 84.3 88-4 91.3
NT+AC 92.4 84.3 88.2 90.6 92.4
PR 70.6 73.6 72.1 71.2 70.6
MD 70.2 85.6 77.1 72.8 70.2
RP 85.1 49.8 62.8 74.5 75.0
AC 86.0 74.9 80.1 83.5 86.0
RP+AC 88.4 85.6 87.0 88.4 88.4
12.5% NT 87.3 66.7 75.6 82.2 85.9
NT+AC 84.5 82.6 83.5 84.1 84.5
PR 67.0 71.1 69.0 67.7 67.0
MD 63.8 80.3 71.1 66.6 63.8
Table 7.7: Results of ontologising 800 antonymy tb-triples, between adjectives, of
TeP in TeP, using only part of the TeP’s antonymy relations as a lexical network.
% of N Algorithm Precision (%) Recall (%) F1(%) F0.5(%) RF1(%)
RP 94.2 85.7 89.8 92.3 94.2
AC 97.3 80.5 88.1 93.4 96.5
RP+AC 97.5 87.2 92.1 95.2 97.5
50% NT 95.1 73.7 83.1 89.9 93.1
NT+AC 93.9 81.2 87.1 91.1 93.9
PR 91.0 91.0 91.0 91.0 91.0
MD 70.6 90.2 79.2 73.8 70.6
RP 93.8 78.9 85.7 90.4 93.7
AC 94.9 69.9 80.5 88.6 90.9
RP+AC 95.9 88.7 92.2 94.4 95.9
25% NT 93.2 51.9 66.7 80.4 83.1
NT+AC 83.1 81.2 82.1 82.7 83.1
PR 87.5 89.5 88.5 87.9 87.5
MD 71.7 89.5 79.6 74.7 71.7
RP 96.0 72.9 82.9 90.3 93.3
AC 94.3 49.6 65.0 79.9 81.4
RP+AC 96.7 85.7 90.8 94.2 96.1
12.5% NT 90.5 28.6 43.4 63.1 69.9
NT+AC 73.0 81.2 76.9 74.5 73.0
PR 85.2 91.0 88.0 86.3 85.2
MD 76.8 87.2 81.7 78.7 76.8
Table 7.8: Results of ontologising 476 antonymy tb-triples, between adverbs, of TeP
in TeP, using only part of the TeP’s antonymy relations as a lexical network.
Table 7.9 shows the result of what can be seen as a real scenario, because the
lexical network used, CARTÃO, was extracted automatically from a different source
than the synsets. In this run, RP is the most precise algorithm in a trade-off for lower
recall, because it only uses information of relations of the same type of the tb-triple.