HADES: Homologous Automated Document Exploration and Summarization
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 6 of its 17 references that are in the map. First posted on arXiv 25 Feb 2023.
Builds on
6 of 17 references.
References · 6
- 2018UMAP: Uniform Manifold Approximation and Projection for Dimension Reductioncited by 2,898
- 2017Autoencoding Variational Inference For Topic Modelscited by 169
- 2020Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherencecited by 121
- 2020Text-to-Text Pre-Training for Data-to-Text Taskscited by 104
- 2019Leveraging BERT for Extractive Text Summarization on Lecturescited by 63
- 2022Climate Policy Tracker: Pipeline for automated analysis of public climate policiescited by 1
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Citing papers per year: 2025: 1.
1 paper.