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

Version
1
Resource Type
Dataset
Creator
- Nanni, Federico
- Dietz, Laura
- Ponzetto, Simone Paolo
Publication Date
2017-11-12
Description
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Abstract
Data and File Information
-
Unit Type:
Other
Number of Units: 1
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File Name:
enriched-DART.tsv
File Format: text/plain
File Size: 51413354
Data Fingerprint: e3b71a983b0d9f8530d3dd4e175c5ee6
Method Fingerprint: MD5
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File Name:
enriched-DART.tsv
Availability
Download
Update Metadata: 2019-01-15 | Issue Number: 3 | Registration Date: 2019-01-15