HADES: Homologous Automated Document Exploration and Summarization

Artur \.Z\'o{\l}kowski; Bartosz Pieli\'nski; Emilia Wi\'snios; Julian Sienkiewicz; Mateusz Krzyzi\'nski; Piotr Wilczy\'nski; Przemys{\l}aw Biecek; Stanis{\l}aw Gizi\'nski

HADES: Homologous Automated Document Exploration and Summarization

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arxiv 2302.13099 v1 pith:22GQWCHY submitted 2023-02-25 cs.CL

Piotr Wilczyński , Artur Żó{l}kowski , Mateusz Krzyziński , Emilia Wiśnios , Bartosz Pieliński , Stanis{l}aw Giziński , Julian Sienkiewicz , Przemys{l}aw Biecek This is my paper · ORCID

classification cs.CL

keywords documentshadesanalysiscomparativedealingdocumentprofessionalssummarization

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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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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

Legal Document Summarization: Enhancing Judicial Efficiency through Automation Detection
cs.CL 2025-07 reject novelty 1.0 of 10

A legal document summarization framework is described, but the experiments use four non-legal summarization datasets and generic equations, so the claimed judicial efficiency improvements are not established.

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