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seq2seq-summarizer
Python

seq2seq-summarizer

Pointer-generator reinforced seq2seq summarization in PyTorch

by ymfa · GitHub
358
Stars
70
Forks
MIT
License
2018
Created
7 yr ago
Last commit
abstractive-summarization
Category
Python
Language
abstractive-summarizationattentionattention-mechanismMITPython
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In plain words

Summarize long texts into shorter versions using a specialized AI model in Python.

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📄 About

Pointer-generator reinforced seq2seq summarization in PyTorch

seq2seq-summarizer has 358 stars on GitHub. It has been forked 70 times. seq2seq-summarizer is written mainly in Python. It has been in active development since 2018. seq2seq-summarizer is available under the MIT license. Its main topics are abstractive-summarization, attention, attention-mechanism, coverage.

❓ Frequently asked questions

What is seq2seq-summarizer?

Pointer-generator reinforced seq2seq summarization in PyTorch

Is seq2seq-summarizer open source?

seq2seq-summarizer is an open-source project. It is released under the MIT license.

Is seq2seq-summarizer free?

Yes. seq2seq-summarizer is free and open source — you can use, modify and self-host it.

What license does seq2seq-summarizer use?

seq2seq-summarizer is available under the MIT license.

What language is seq2seq-summarizer written in?

seq2seq-summarizer is written mainly in Python.

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