Generating headlines from news articles using seq2seq models.
Project description
Headliner is a library that was internally created to generate headlines from news articles. In particular, we use sequence-to-sequence (seq2seq) under the hood, an encoder-decoder framework. We provide a very simple interface to train and deploy seq2seq models. Although this library was created internally to generate headlines, you can also use it for other tasks like machine translations, text summarization and many more.
Read the documentation at: https://as-ideas.github.io/headliner/
Headliner is compatible with Python 3.6 and is distributed under the MIT license.
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