Table 13.
Comparing F1-score of deep learning models (Thai sentences dataset) with focusing POS tags (N+V+Adj+Det+Prep: NVADP).
| Input | Model | Micro-averaged |
Macro-averaged |
||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| P | R | (Mean) | (SD) | (Max) | P | R | (Mean) | (SD) | (Max) | ||
| Original | CNN | 0.7793 | 0.7793 | 0.7793 | 0.0119 | 0.7989 | 0.7790 | 0.7759 | 0.7756 | 0.0121 | 0.7962 |
| BiLSTM | 0.7229 | 0.7229 | 0.7229 | 0.0245 | 0.7542 | 0.7323 | 0.7205 | 0.7183 | 0.0251 | 0.7517 | |
| Hybrid | 0.7268 | 0.7268 | 0.7268 | 0.0210 | 0.7542 | 0.7397 | 0.7212 | 0.7231 | 0.0203 | 0.7512 | |
| +all POS Tags | CNN | 0.7888 | 0.7888 | 0.7888 | 0.0195 | 0.8156 | 0.7917 | 0.7865 | 0.7862 | 0.0203 | 0.8142 |
| BiLSTM | 0.7523 | 0.7523 | 0.7523 | 0.0357 | 0.7598 | 0.7583 | 0.7475 | 0.7476 | 0.0339 | 0.7592 | |
| Hybrid | 0.7467 | 0.7467 | 0.7467 | 0.0312 | 0.7542 | 0.7520 | 0.7528 | 0.7463 | 0.0300 | 0.7522 | |
| +focusing Tags | CNN | 0.7933 | 0.7933 | 0.7933 | 0.0095 | 0.8101 | 0.7957 | 0.7882 | 0.7898 | 0.0093 | 0.8031 |
| BiLSTM | 0.7536 | 0.7536 | 0.7536 | 0.0260 | 0.7765 | 0.7593 | 0.7502 | 0.7498 | 0.0267 | 0.7759 | |
| Hybrid | 0.7408 | 0.7408 | 0.7408 | 0.0262 | 0.7654 | 0.7475 | 0.7378 | 0.7363 | 0.0278 | 0.7644 | |
| +focusing Words | CNN | 0.7542 | 0.7542 | 0.7542 | 0.0158 | 0.7765 | 0.7628 | 0.7484 | 0.7502 | 0.0167 | 0.7758 |
| BiLSTM | 0.6939 | 0.6939 | 0.6939 | 0.0225 | 0.7318 | 0.6964 | 0.6873 | 0.6867 | 0.0245 | 0.7258 | |
| Hybrid | 0.7123 | 0.7123 | 0.7123 | 0.0372 | 0.7542 | 0.7139 | 0.7104 | 0.7092 | 0.0360 | 0.7512 | |