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I would like to use the skip thought vectors implementation in neon. The documentation provided is not enough. Is there a tutorial available on how to obtain skip thought vectors from scratch on my ow…
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https://arxiv.org/abs/1506.06726
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Is it possible to use the vocab and embedded files from Skip-thoughts vector as [here](https://github.com/tensorflow/models/tree/master/skip_thoughts)?
Any help please.
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Write the captions in text file, and save it as Data/sample_captions.txt. Generate the skip thought vectors for these captions using:
python generate_thought_vectors.py --caption_file="Data/sample_ca…
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There are two files used for generation referenced in config.py:
`caption_style.npy'`
`romance_style.npy'`
these style vectors are used by generate.py
`bneg = numpy.load(config.paths['negbias'])`
`…
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Hello, I'm new and I trying to use this tool. I have downloaded the google word2vec pre-trained file (GoogleNews-vectors-negative300.bin.gz). Then, I use the example code
```
import tensorflow as …
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I am trying to use your code to generate skip thought vectors. In the requirements, it says, it requires python 2.7 and keras for semantic relatedness. However, importing keras throws an error: requir…
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I used the skip-thoughts project to create new encoder and decoders for some custom corpus data. I was able to run it through neural-storyteller, and output was generated. (Quality was low, but it did…
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We have changed the line to load model to gensim.models.KeyedVectors.load_word2vec_format, still we are getting the following error
import tools
embed_map = tools.load_googlenews_vectors()
model…
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Can we use the skip-thought vectors generated as a representation of sentences for further tasks like in vision we use something like a pre-trained AlexNet model to obtain feature representation and u…