Sisu

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* 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!



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* 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.


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* Finish import / transformation of the data_loader module.


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* First release on PyPI.

* Preprocessing submodule deployed