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Since our training set is so small, I could also imagine that smaller word vectors would make sense. It would also make the model faster but we would obviously need the smaller word vectors first. One…
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Make word vectors for the Doc.similarity method
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I want to know:
1. whether nouns, verbs, etc, emerge as clusters;
2. Lakoff Prototype effects: are "nouny nouns" cluster to cluster centres?
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Hi,
Thanks for making this available. Two suggestions for better usability
1) I think you should point out in the readme that vectors.gz should be available in the main directory.
2) The code s…
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Are there any plans to open source the training code and/or the word vectors trained with the moe data?
Thanks!
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There are some issues I am not sure about after reading the paper and the codes.
1. Semantic labels, also class names are used to generate word vectors in the training phase.
2. And semantic labels …
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I want to download the Word vectors, May I ask who can share it?
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Enter word or 'EXIT' to quit: he
10 nearest neighbors to he:
Rank Word Cosine Similarity
---
```
1 her 0.959675
2 she 0.95612
3 man …
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```
What steps will reproduce the problem?
--Using the python word2vec module in ipython. Loaded the model from
GoogleNews-vectors-negative300.bin using the command:
model = word2vec.load("~/Download…
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```
What steps will reproduce the problem?
--Using the python word2vec module in ipython. Loaded the model from
GoogleNews-vectors-negative300.bin using the command:
model = word2vec.load("~/Download…