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mhindermann/README.md

Hi there 👋

Digital humanities and research data management, with a focus on computational methods for humanities research. I advise researchers on the use of large language models, develop benchmarks for evaluating LLM performance on humanities tasks, and design data infrastructure for research workflows. Further areas of expertise include knowledge organization systems, machine indexing, research software development, and FAIR data dissemination. My background combines philosophy (philosophy of bioinformatics, philosophy of science), mathematical logic, and library and information science.

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  1. RISE-UNIBAS/humanities_data_benchmarkRISE-UNIBAS/humanities_data_benchmarkPublic

    LLM Benchmark Suite for Humanities Data

    Python 23 6

  2. RISE-UNIBAS/bildersammlung-buddhismus-publicRISE-UNIBAS/bildersammlung-buddhismus-publicPublic

    Dataset of the University of Basel's research seminar "Indexing and Digital Processing of a Historical Image Collection on the Appropriation of Buddhism in the West"

    Python 1

  3. bartocsuggestbartocsuggestPublic

    A Python module that suggests vocabularies given a list of words based on the BARTOC FAST API

    Python

  4. masmasPublic

    UZH MAS thesis "Machine indexing of institutional repositories: indexing Edoc with Annif as proof of concept" by Maximilian Hindermann, 2021

    TeX

  5. RISE-UNIBAS/transkribus-custom-ner-deRISE-UNIBAS/transkribus-custom-ner-dePublic

    Custom named entity recognition (persons, locations) using spaCy for German texts annotated in Transkribus

    Python 5

  6. RISE-UNIBAS/clean-codeRISE-UNIBAS/clean-codePublic

    Training materials and slides for courses on version control, clean code and documentation with practical examples and exercises in Python and R

    HTML 5