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Structured and Interactive Summarization

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Performs extractive, hierarchical, summarization out of a corpus of documents.

Features

  • Preprocessing tools.

Credits

This package was created with Cookiecutter and the francois-durand/package_helper_2 project template.

History

0.X.X (2021-XX-XX): TODO

  • Run experiments and comparison on the flat summarizer

  • Start converting the Wikipedia Animals dataset

  • Start converting hierarchical summary notebook

0.2.0 (2021-03-14): Flat summarizer

  • Main update: fully-functional flat summarizer!

    • Fully customisable;

    • Fully documented.

  • Two tutorials

    • Building a Gismo for the Covid dataset;

    • Flat summarizer on the Covid dataset.

  • Change of paradigm: start from the notebook and build the module cell by cell.

  • Consequences: all non-converted modules from 0.1.2 are moved to the pit. They will be restored during the notebook transformation.

  • sentence splitter optimized big time using nltk hidden features!

0.1.2 (2021-03-03): the pit

  • Batch import of remaining modules in a temporary submodule (the pit). The pit will be dispatched afterwards.

  • Fix import issues (e.g. spacy neuralcoref version incompatibility, Qt5, sknetwork…)

  • submodule gismo_wrapper on death row (may never leave the pit)

  • Embedding_idf OK

  • Building summary: summarize and make_tree have been updated to work.

  • Lot’s of cleaning remains (separating covid/generic, unified pre-proc and source convention,…)

  • Take down neuralcoref for the moment. Does not build on github.

0.1.1 (2021-02-23): data_loader

  • Finish import / transformation of the data_loader module.

0.1.0 (2021-02-23): First release

  • First release on PyPI.

  • Preprocessing submodule deployed

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