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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, formal epistemology), mathematical logic, and library and information science.

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  1. RISE-UNIBAS/humanities_data_benchmark RISE-UNIBAS/humanities_data_benchmark Public

    LLM Benchmark Suite for Humanities Data

    Python 14 6

  2. RISE-UNIBAS/bildersammlung-buddhismus-public RISE-UNIBAS/bildersammlung-buddhismus-public Public

    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. bartocsuggest bartocsuggest Public

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

    Python

  4. mas mas Public

    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-de RISE-UNIBAS/transkribus-custom-ner-de Public

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

    Python 5

  6. RISE-UNIBAS/clean-code RISE-UNIBAS/clean-code Public

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

    HTML 5