HADES: Homologous Automated Document Exploration and Summarization

Piotr Wilczyński, Artur Żółkowski, Mateusz Krzyziński, Emilia Wiśnios, Bartosz Pieliński +3 more
2/25/2023
cs.CL

No official code found. Best implementation: MI2DataLab/HADES (11 stars, MIT, last commit 2023-08-10).

Abstract

This paper introduces HADES, a novel tool for automatic comparative documents with similar structures. HADES is designed to streamline the work of professionals dealing with large volumes of documents, such as policy documents, legal acts, and scientific papers. The tool employs a multi-step pipeline that begins with processing PDF documents using topic modeling, summarization, and analysis of the most important words for each topic. The process concludes with an interactive web app with visualizations that facilitate the comparison of the documents. HADES has the potential to significantly improve the productivity of professionals dealing with high volumes of documents, reducing the time and effort required to complete tasks related to comparative document analysis. Our package is publically available on GitHub.

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Code Implementations(1)

MI2DataLab/HADESCommunity100%
MIT

A powerful tool for comparing similarly structured documents

113Python, Jupyter NotebookJul 12, 20223 years agoMIT
document-analyze-toolnlptopic-modelingvisualization

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Cite this paper

@article{wilczyski2023hades,
  title  = {HADES: Homologous Automated Document Exploration and Summarization},
  author = {Piotr Wilczyński and Artur Żółkowski and Mateusz Krzyziński and Emilia Wiśnios and Bartosz Pieliński and Stanisław Giziński and Julian Sienkiewicz and Przemysław Biecek},
  year   = {2023},
  eprint = {2302.13099},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2302.13099v1}
}

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