Comments (3)
See the ReadMe. Pre-Trained Word Vectors are learned from New York Times Annotated Corpus (LDC Data LDC2008T19), which should be obtained from LDC (https://catalog.ldc.upenn.edu/LDC2008T19). And we also provide the word embedding file 'vec.bin' used in the experiments in data.zip.
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You didn't answer my last question
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You can use gensim to train vector on your own dataset
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Related Issues (20)
- 关于数据的问题 HOT 5
- How to select relation in Attention while Testing? HOT 13
- 实体ID的生成 HOT 2
- train.cpp: error: reference to 'end' is ambiguous HOT 5
- about the query vector HOT 2
- 关于P@N测试的一个问题 HOT 2
- am I missing something? HOT 1
- Would you like to share the trained model using the NYT datasets? HOT 1
- Calculate gradients and update parameters for CNN+ATT HOT 1
- 求教:ubuntu16.04 编译后,执行命令./test后,出现段错误 HOT 2
- A SEGV signal occurred in CNN+ATT/init.h: 71 HOT 2
- 数据集的问题
- How to train about my data?
- how to test in single CNN/PCNN
- 关于contextwise split
- 关于论文中的实验结果
- about weight diagonal matrix
- P@N
- about test.h in CNN+ATT HOT 2
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