Comments (4)
你好,请问这个问题你是怎么解决的呢?还有那个ebemd.300.trim.npy目录?
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您好!请问这个问题您怎么解决的呢?以及怎么用 google news word2vec. 得到embed300.trim.npy呢
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保证tensorflow的版本为1.4(或许别的也可以),命令行运行build_data命令来生成vocabulary的列表和embed300.trim.py。看通读取word2vec向量到为数据集的vocabulary列表查询到相应的embed300.trim.npy就行了,可能中间还有一些参数需要修改,我是为自己的数据集生成的50维的向量。
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非常感谢您热心的解答,祝科研顺利!
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Related Issues (20)
- 关于adv+diff与adv的实验结果 HOT 4
- 关于single task的训练问题 HOT 1
- Loss linear combination HOT 2
- typical patterns captured by task-specific layer
- 关于代码
- domain_loss的一些问题
- diff_loss中的转置是否存在问题?
- About data missing
- 关于bach数目设定的问题 HOT 1
- 验证集缺失问题
- Performance issues in fudan_mtl_reviews/blob/master/src/inputs/util.py(P2)
- Performance issue in /src/inputs/util.py (by P3) HOT 1
- 请问多任务学习中的测试集是怎么样工作的?
- Adv Loss is not supported by the paper??? HOT 4
- questions of code HOT 21
- FileNotFoundError: [Errno 2] No such file or directory: 'data/generated/vocab.mtl.txt' HOT 1
- missing embed300.trim.npy
- 关于main.pyu中的train函数
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