atulkum/pointer_summarizer
PyTorch implementation of Pointer-Generator Networks for abstractive text summarization with coverage mechanism.
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This repository provides a PyTorch implementation of the 2017 research paper ‘Get To The Point: Summarization with Pointer-Generator Networks’. It implements a seq2seq model with attention that can copy tokens directly from the source text via pointer mechanism, plus optional coverage loss to reduce repetition. The model is trained on CNN/Daily Mail dataset and evaluated using ROUGE metrics.
Frequently asked
- What is atulkum/pointer_summarizer?
- PyTorch implementation of Pointer-Generator Networks for abstractive text summarization with coverage mechanism.
- Is pointer_summarizer open source?
- Yes — atulkum/pointer_summarizer is open source, released under the Apache-2.0 license.
- What language is pointer_summarizer written in?
- atulkum/pointer_summarizer is primarily written in Python.
- How popular is pointer_summarizer?
- atulkum/pointer_summarizer has 910 stars on GitHub.
- Where can I find pointer_summarizer?
- atulkum/pointer_summarizer is on GitHub at https://github.com/atulkum/pointer_summarizer.