研究文章
自动预测好字典的例子(GDEX):一个综合实验与远方监督机器学习,单词Embedding-Based深度学习技巧
|
| 藻类。 |
矢量。 |
只有弓 |
弓+ PoS标签 |
|
|
R |
年代 |
F |
一个 |
英航 |
|
R |
年代 |
F |
一个 |
英航 |
|
| k神经网络 |
数 |
55.9 |
55.9 |
45.8 |
55.9 |
57.2 |
50.8 |
62年 |
62年 |
53.4 |
62年 |
64.8 |
57.7 |
|
|
62.2 |
62.2 |
54.6 |
62.2 |
64.6 |
58.4 |
67.7 |
67.7 |
70.5 |
67.7 |
66.1 |
69.1 |
| 注 |
数 |
63.1 |
63.1 |
56 |
63.1 |
65.6 |
59.5 |
63.5 |
63.5 |
58.4 |
63.5 |
65.4 |
60.9 |
|
|
64.3 |
64.3 |
60.4 |
64.3 |
65.9 |
62.4 |
64.9 |
64.9 |
62.2 |
64.9 |
66.1 |
63.6 |
| RFT |
数 |
65.2 |
65.2 |
56.7 |
65.2 |
69年 |
61年 |
67.2 |
67.2 |
62年 |
67.2 |
70年 |
64.6 |
|
|
67.2 |
67.2 |
62.9 |
67.2 |
69.5 |
65.1 |
67.4 |
67.4 |
62.8 |
67.4 |
69.9 |
65.1 |
| Linear-SVM |
数 |
67.5 |
67.5 |
62.9 |
67.5 |
70年 |
65.2 |
65.5 |
65.5 |
56.4 |
65.5 |
69.7 |
61年 |
|
|
68.1 |
68.1 |
64.4 |
68.1 |
70.1 |
66.2 |
69.1 |
69.1 |
66.2 |
69.1 |
70.9 |
67.6 |
| Rbf-SVM |
数 |
66.7 |
66.7 |
60.2 |
66.7 |
69.9 |
63.4 |
66.8 |
66.8 |
60.7 |
66.8 |
69.9 |
63.7 |
|
|
68.7 |
68.7 |
65.9 |
68.7 |
70.5 |
67.3 |
69.4 |
69.4 |
66.5 |
69.4 |
71.2 |
67.9 |
|
|