Research Article
Graph Convolutional Network for Word Sense Disambiguation
Table 1
Disambiguation accuracies in the first group of experiments.
| Ambiguous words | LSTM | CNN | CNN + LSTM | CNN + Bi-LSTM | GCN(1) | GCN(2) |
| Biaomian(2) | 0.611 | 0.611 | 0.611 | 0.611 | 0.833 | 0.889 | Cai(2) | 0.524 | 0.550 | 0.476 | 0.524 | 0.737 | 0.737 | Danwei(2) | 0.632 | 0.632 | 0.632 | 0.632 | 0.882 | 0.706 | Dongyao(2) | 0.625 | 0.625 | 0.625 | 0.625 | 0.563 | 0.688 | Ernv(2) | 0.545 | 0.524 | 0.545 | 0.545 | 0.850 | 1.000 | Jingtou(2) | 0.533 | 0.533 | 0.533 | 0.533 | 0.568 | 0.600 | Kaitong(2) | 0.500 | 0.526 | 0.500 | 0.500 | 0.500 | 0.700 | Qixi(2) | 0.286 | 0.714 | 0.714 | 0.714 | 0.714 | 1.000 | Qixiang(2) | 0.647 | 0.647 | 0.647 | 0.647 | 0.688 | 0.938 | Shi(2) | 0.625 | 0.625 | 0.625 | 0.625 | 0.813 | 0.813 | Tuifan(2) | 0.400 | 0.600 | 0.600 | 0.600 | 0.600 | 0.800 | Wang(2) | 0.769 | 0.769 | 0.769 | 0.769 | 0.769 | 0.769 | Yanguang(2) | 0.714 | 0.714 | 0.714 | 0.714 | 0.571 | 0.714 | Zhenjing(2) | 0.714 | 0.714 | 0.714 | 0.714 | 0.857 | 0.786 | Zhongyi(2) | 0.480 | 0.458 | 0.480 | 0.480 | 0.813 | 0.688 | Ben(3) | 0.429 | 0.370 | 0.429 | 0.429 | 0.760 | 0.760 | Bu(3) | 0.500 | 0.522 | 0.500 | 0.500 | 0.750 | 0.850 | Chengli(3) | 0.357 | 0.370 | 0.357 | 0.357 | 0.357 | 0.393 | Duiwu(3) | 0.458 | 0.478 | 0.458 | 0.417 | 0.546 | 0.636 | Gan(3) | 0.450 | 0.421 | 0.450 | 0.450 | 0.889 | 0.611 | Qizhi(3) | 0.556 | 0.556 | 0.556 | 0.556 | 0.667 | 0.722 | Rizi(3) | 0.333 | 0.344 | 0.333 | 0.333 | 0.406 | 0.594 | Tiandi(3) | 0.400 | 0.375 | 0.400 | 0.400 | 0.800 | 0.720 | Tiao(3) | 0.438 | 0.438 | 0.438 | 0.438 | 0.643 | 0.714 | Changcheng(3) | 0.577 | 0.600 | 0.577 | 0.577 | 0.524 | 0.571 | Chi(4) | 0.500 | 0.259 | 0.500 | 0.500 | 0.478 | 0.565 | Dong(4) | 0.542 | 0.528 | 0.542 | 0.542 | 0.500 | 0.500 | Jiao(4) | 0.250 | 0.263 | 0.250 | 0.250 | 0.359 | 0.410 | Average accuracy | 0.514 | 0.527 | 0.535 | 0.535 | 0.659 | 0.710 |
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