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Hi Wang,
Thanks for sharing the code. I have the following two questions.
What can weightedword2vec do ?
Is there the implementation of attention based cbow model ?
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https://github.com/RaRe-Technologies/gensim/blob/e391f0c25599c751e127dde925e062c7132e4737/gensim/models/word2vec.py#L271 I guess there is also such a bug in function train_cbow_pair but I have not t…
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As the title, I wonder whether
./fastText supervised
will utilize the fastText embedding such as skip-gram or CBOW when training the classifier or not.
Thanks :D
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I download from 'Word2Vec' http://nilc.icmc.usp.br/embeddings
this http://143.107.183.175:22980/download.php?file=embeddings/word2vec/cbow_s50.zip
And try to load
```
var w2v2 = require(…
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cbow 和 skip-gram 两种方式从代码角度来看,基本求解方式一致
cbow: 窗口内词取平均来预测目标词
skip-gram: 一个词循环预测多个目标词(窗口词)
区别:cbow比sg训练快,sg比cbow更好地处理生僻字(出现频率低的字)
优化算法: hierarchical softmax(优化每个非叶子节点,树上多个二分类) 和 negative sample (二分类)
…
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We calculate a pre-image of the zero vector. Note that in word2vec CBOW the sum of the word vectors for the word in the context is averaged -- equivalently, we are mapping a probability distribution …
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I've tried the following exmaple shown in the repo's page:
```
from nltk.corpus import brown
brk = Word2VecKeras(brown.sents(),iter=10)
print( brk.most_similar('the', topn=5))
```
but I got the foll…
ammsa updated
7 years ago
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Olá. Eu fiz o download dos arquivos 'cbow_s50.txt' e 'skip_s100.txt' e tentei ler a partir do seguinte código:
```
#glove_file = open('skip_s100.txt', encoding="utf8")
glove_file = open('cbow_s50…
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## Audio SSL
SSL的思想可以抽象为让模型学习对应的数据的内在空间结构和表达,SSL在audio上的效果要差于NLP和CV,这体现在:
1. 现实生活中音频的不确定性,比如人与人之间、甚至是个人的不同时期,不同情绪下说话的差异,气息、声调都有区别,录音设备的不同和摆放方式也会导致数据的差异,这使得SSL较难学到声音的潜在结构;
2. 不同噪声对音频的叠加干扰,会扭曲SSL学习…
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hi,
I used "avg_word_embeddings" code with w2v (CBOW), to train a model.
so after the model was saved, when I want to evaluate the model on my test data, while I have enough RAM about 40 G,
I got …