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  • Provide better support for GPU acceleration (e.g., core algo for centralization) using RAPIDS, and testing with https://kfocus.org/

    No due date
  • Refactor the README, wiki, and sample notebooks into the integrated documentation used in kglab, which includes glossary of shared definitions plus a bibliography of primary sources.

    No due date
    12/12 issues closed
  • Support for new or improved features in extractive summarization.

    No due date
    1/1 issues closed
  • Integration of https://github.com/DerwenAI/kglab to represent the lemma graph as a KG, then overlay the semantics of the "min phrase" aggregation atop that, with another overlay of entities in SKOS hierarchy. This will allow PyTextRank use cases to "seed" parsing with expected phases, leading to faster/better convergence in the lemma graph centrality that's at the core of the TextRank algorithms, with a side-effect of entity linking. Also gives a clear path forward for improved coreference.

    No due date
    8/8 issues closed