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Hello, I have tried to run a NetPyNE based project(https://github.com/DepartmentofNeurophysiology/Cortical-representation-of-touch-in-silico-NetPyne) but falied when came to this sentence(in ./multitr…
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Thank you very much for your excellent work! We had already run the model by using the demo and found out that the ability of Theia model on feature extraction visualization was not as good as individ…
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1) After the sentence "Using the integral representation we could obtain that:the expected value for the displacement operator", there should be some explanation of where this first equation comes fro…
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We are happy to quickly add any structure-informed model which is a plug-and-play addition to our infrastructure, which will generally mean it either:
- Utilizes already implemented representation, f…
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shcup updated
5 years ago
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The main string class doco needs some work. The main intro sentence, "A string array of Unicode strings.", is really clumsy, the whole thing focuses too much on Unicode, and it's not clear who the aud…
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# RFW0086: *New MT Alignment pipeline*
## Named Concepts
TM repos: the repo that has aligned EN-BO text file.
Sentence Embedding (aligner model):
In natural language processing, a sentence embe…
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It would be great to have more friendly and funny doctest text content (instead of "Aha", "Text", ...). It's also nicer for users if the docstring examples are all similar.
One idea, for instance, is…
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Hi,
I am struggling to get the embedding for individual words. I used this command:
`python -m elmoformanylangs test --input_format conll --input input.conllu --model ar.model --output_prefix .…
ghost updated
5 years ago
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**In the paper, section 3.1 BERT, it is said that -**
`we extract a fixed sized vector via max pooling of the second to last layer.` then `A sentence of N words will hence
esult in an N ∗ H embeddi…