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| − | Works in This week:
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| − | 1.Finish training word embeddings via 5 models :
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| − | using EnWiki dataset(953M):
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| − | CBOW,Skip-Gram(SG)
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| − | using text8 dataset(95.3M):
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| − | CBOW,Skip-Gram(SG),C&W,GloVe,LBL and Order(count-based)
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| − | 2.Use tasks to measure quality of the word vectors with various dimensions:
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| − | word similarity(ws)
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| − | the TOEFL set
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| − | analogy task
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| − | text classification
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| − | named entity recognition(ner)
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| − | sentence-level sentiment classification (based on convolutional neural networks),just call it 'cnn'
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| − | part-of-speech tagging(pos)
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