8000 How to get the word representations · Issue #2 · doc-doc/NExT-OE · GitHub
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How to get the word representations #2

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datar001 opened this issue Jun 18, 2021 · 3 comments
Open

How to get the word representations #2

datar001 opened this issue Jun 18, 2021 · 3 comments

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@datar001
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Hi, I have a simple question. How to get the glove_embed.npy and vocab.pkl if there is a new dataset. To get the glove_embed.npy, can we need to train new word vectors on the vocabulary build by us? And if possible, can you release the pre-processing nlp code? Thanks very much.
@doc-doc
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doc-doc commented Jun 18, 2021

Hi, pls refer to build_vocab.py and word2vec.py.

@datar001
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wow, maybe i am a blind man.... And, If the dim=-2 rather than -1 in Line 45 in networks/VQAModel/HGA.py, the performance will get a small improvement. This seems an implement mistake in HGA. There is only a value in the last dimension. If the softmax_dim=-1, the value will be all 1.

@doc-doc
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doc-doc commented Jun 18, 2021

Thx for pointing it out. The code follows the official repo, and yes that the attention-pooling is changed to sum-pooling here. I will fix it soon.

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