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stanfordnlp / stanza

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
https://stanfordnlp.github.io/stanza/
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To implement SOTA text summarization architecture #935

Open techverve opened 2 years ago

techverve commented 2 years ago

Is your feature request related to a problem? Please describe. A clear and concise description of what the problem is to have a module that provides text summarization. This is an added-on feature for stanza, which might benefit all the current developers using this package.

Describe the solution you'd like In the initial phase, we could look to implement SOTA text summarization architecture for the English language alone, later the scope could be expanded to other languages.

Describe alternatives you've considered A clear and concise description of any alternative solutions or features you've considered. NA

Additional context Add any other context or screenshots about the feature request here. NA

AngledLuffa commented 2 years ago

It's on the list!

On Wed, Jan 26, 2022, 4:46 AM Joy Jefferson @.***> wrote:

Is your feature request related to a problem? Please describe. A clear and concise description of what the problem is to have a module that provides text summarization. This is an added-on feature for stanza, which might benefit all the current developers using this package.

Describe the solution you'd like In the initial phase, we could look to implement SOTA text summarization architecture for the English language alone, later the scope could be expanded to other languages.

Describe alternatives you've considered A clear and concise description of any alternative solutions or features you've considered. NA

Additional context Add any other context or screenshots about the feature request here. NA

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techverve commented 2 years ago

Great! I would love to work on it if you would like :)

AngledLuffa commented 2 years ago

I never did mention this, but if you wanted to convert Abi See's pointer generator code to a recent version of pytorch, that would be a great help. Basically the same code layout as the original but with pytorch instead of tensorflow