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Extractive Text Summarization. Trained on 200k+ CNN and Daily Mail News Articles. Outputs ~3 sentence summaries to match the provided gold summaries, necessary for testing. Uses SpaCy for NER/POS tagging, and implements QR Matrix Decomposition, a semi-supervised model, and word-frequency calculator to determine summary sentences.

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textsummarization

To run spacy: pip install spacy python -m spacy download en

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Extractive Text Summarization. Trained on 200k+ CNN and Daily Mail News Articles. Outputs ~3 sentence summaries to match the provided gold summaries, necessary for testing. Uses SpaCy for NER/POS tagging, and implements QR Matrix Decomposition, a semi-supervised model, and word-frequency calculator to determine summary sentences.

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  • Python 69.4%
  • Gherkin 30.6%