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https://github.com/gauravg-20/abstractive-text-summarization
Abstractive text summarization generates a shorter version of a given sentence while attempting to preserve its contextual meaning. In our approach we model the problem using an attentional encoder decoder which ensures that the decoder focuses on the appropriate input words at each step of our generation.
https://github.com/gauravg-20/abstractive-text-summarization
abstractive-text-summarization bag-of-words encoder-decoder-model jupyter-notebook nlp-machine-learning seq2seq-model
Last synced: 12 days ago
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Abstractive text summarization generates a shorter version of a given sentence while attempting to preserve its contextual meaning. In our approach we model the problem using an attentional encoder decoder which ensures that the decoder focuses on the appropriate input words at each step of our generation.
- Host: GitHub
- URL: https://github.com/gauravg-20/abstractive-text-summarization
- Owner: GauravG-20
- License: cc0-1.0
- Created: 2023-03-13T14:39:33.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-06-01T18:04:49.000Z (over 1 year ago)
- Last Synced: 2023-06-01T19:23:44.738Z (over 1 year ago)
- Topics: abstractive-text-summarization, bag-of-words, encoder-decoder-model, jupyter-notebook, nlp-machine-learning, seq2seq-model
- Language: Jupyter Notebook
- Homepage:
- Size: 91.8 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0