Table 2.
Type | Character Vector | Feature Word Categories | Corpus | Precision | Recall | F1 |
---|---|---|---|---|---|---|
Supervised | WIKI | 0 |
Train_2w +Dev_3.5 k +Test_5.1 k |
0.6831 | 0.7053 | 0.6941 |
Semi-Supervised | WIKI | 0 |
Train_2w_10w +Dev_3.5 k +Test_5.1 k |
0.7782 | 0.7294 | 0.7530 |
TCM | 0 | 0.7474 | 0.7262 | 0.7339 | ||
0.3TCM + 0.7WIKI | 0 | 0.7893 | 0.7294 | 0.7561 | ||
0.7TCM + 0.3WIKI | 0 | 0.7503 | 0.7335 | 0.7298 | ||
0.5TCM + 0.5WIKI | 0 | 0.7935 | 0.7228 | 0.7585 | ||
0.5TCM + 0.5WIKI | 4 | 0.7889 | 0.7525 | 0.7703 | ||
0.5TCM + 0.5WIKI | 39 | 0.7932 | 0.7723 | 07826 | ||
0.5TCM + 0.5WIKI | 8 | 0.7756 | 0.7987 | 0.7870 |