“Ling Luo 2015-08-31”版本间的差异
来自cslt Wiki
（以“ == Works in the past: == 1.''Finish training word embeddings via 5 models :'' using EnWiki dataset(953M): CBOW,Skip-Gram using text8 dataset(95.3M): CBOW,Skip-Gra...”为内容创建页面） |
（没有差异）
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2015年9月2日 (三) 02:18的版本
Works in the past:
1.Finish training word embeddings via 5 models : using EnWiki dataset(953M): CBOW,Skip-Gram using text8 dataset(95.3M): CBOW,Skip-Gram,C&W,GloVe,LBL and Order(count-based)
2.Use tasks to measure quality of the word vectors with various dimensions(10~200): word similarity(ws) the TOEFL set:small dataset analogy task:9K semantic and 10.5K syntactic analogy questions text classification:IMDB dataset——pos&neg,use unlabeled dataset to train word embeddings sentence-level sentiment classification (based on convolutional neural networks) part-of-speech tagging
Works in this week:
word similarity(ws):try to use different similarity calculation method named entity recognition(ner) focus on cnn
