Research Article

Graph Convolutional Network for Word Sense Disambiguation

Table 1

Disambiguation accuracies in the first group of experiments.

Ambiguous wordsLSTMCNNCNN + LSTMCNN + Bi-LSTMGCN(1)GCN(2)

Biaomian(2)0.6110.6110.6110.6110.8330.889
Cai(2)0.5240.5500.4760.5240.7370.737
Danwei(2)0.6320.6320.6320.6320.8820.706
Dongyao(2)0.6250.6250.6250.6250.5630.688
Ernv(2)0.5450.5240.5450.5450.8501.000
Jingtou(2)0.5330.5330.5330.5330.5680.600
Kaitong(2)0.5000.5260.5000.5000.5000.700
Qixi(2)0.2860.7140.7140.7140.7141.000
Qixiang(2)0.6470.6470.6470.6470.6880.938
Shi(2)0.6250.6250.6250.6250.8130.813
Tuifan(2)0.4000.6000.6000.6000.6000.800
Wang(2)0.7690.7690.7690.7690.7690.769
Yanguang(2)0.7140.7140.7140.7140.5710.714
Zhenjing(2)0.7140.7140.7140.7140.8570.786
Zhongyi(2)0.4800.4580.4800.4800.8130.688
Ben(3)0.4290.3700.4290.4290.7600.760
Bu(3)0.5000.5220.5000.5000.7500.850
Chengli(3)0.3570.3700.3570.3570.3570.393
Duiwu(3)0.4580.4780.4580.4170.5460.636
Gan(3)0.4500.4210.4500.4500.8890.611
Qizhi(3)0.5560.5560.5560.5560.6670.722
Rizi(3)0.3330.3440.3330.3330.4060.594
Tiandi(3)0.4000.3750.4000.4000.8000.720
Tiao(3)0.4380.4380.4380.4380.6430.714
Changcheng(3)0.5770.6000.5770.5770.5240.571
Chi(4)0.5000.2590.5000.5000.4780.565
Dong(4)0.5420.5280.5420.5420.5000.500
Jiao(4)0.2500.2630.2500.2500.3590.410
Average accuracy0.5140.5270.5350.5350.6590.710