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metadata language: German

Data from the paper: Towards a Computational History of Universities: Evaluating Text Mining Methods for Interdisciplinarity Detection from Ph.D. Dissertation Abstracts

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DOI
https://doi.org/10.7801/2259
Version
1
Resource Type
Dataset
Creator
  • Nanni, Federico
  • Dietz, Laura
  • Ponzetto, Simone Paolo
Publication Date
2017-11-12
Description

  • Abstract

Data and File Information
  • Unit Type: Other
    Number of Units: 1
    • File Name: enriched-DART.tsv
      File Format: text/plain
      File Size: 51413354
      Data Fingerprint: e3b71a983b0d9f8530d3dd4e175c5ee6
      Method Fingerprint: MD5
Availability
Download

Update Metadata: 2019-01-15 | Issue Number: 3 | Registration Date: 2019-01-15

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Nanni, Federico; Dietz, Laura; Ponzetto, Simone Paolo (2017): Data from the paper: Towards a Computational History of Universities: Evaluating Text Mining Methods for Interdisciplinarity Detection from Ph.D. Dissertation Abstracts. Version: 1. Universitätsbibliothek Mannheim. Dataset. https://doi.org/10.7801/2259