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Logic Mill - A Knowledge Navigation System

Author

Listed:
  • Sebastian Erhardt

    (MPI-IC)

  • Mainak Ghosh

    (MPI-IC)

  • Erik Buunk

    (MPI-IC)

  • Michael E. Rose

    (MPI-IC)

  • Dietmar Harhoff

    (MPI-IC)

Abstract

Logic Mill is a scalable and openly accessible software system that identifies semantically similar documents within either one domain-specific corpus or multi-domain corpora. It uses advanced Natural Language Processing (NLP) techniques to generate numerical representations of documents. Currently it leverages a large pre-trained language model to generate these document representations. The system focuses on scientific publications and patent documents and contains more than 200 million documents. It is easily accessible via a simple Application Programming Interface (API) or via a web interface. Moreover, it is continuously being updated and can be extended to text corpora from other domains. We see this system as a generalpurpose tool for future research applications in the social sciences and other domains.

Suggested Citation

  • Sebastian Erhardt & Mainak Ghosh & Erik Buunk & Michael E. Rose & Dietmar Harhoff, 2023. "Logic Mill - A Knowledge Navigation System," Rationality and Competition Discussion Paper Series 440, CRC TRR 190 Rationality and Competition.
    • Handle: RePEc:rco:dpaper:440
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    References listed on IDEAS

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