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Leveraging Derived Text Formats to Unlock Copyrighted Collections for Open Science (DTF) @ LREC 2026 — papers

The works of Leveraging Derived Text Formats to Unlock Copyrighted Collections for Open Science (DTF) @ LREC published in 2026 that our library holds (publisher: European Language Resources Association (ELRA)): 4 works, listed below with the most cited first; each has a page with our summary, its key points and its references.

All works of the year (9)

The most cited first; 4 with our summary link to their page here, the others to the original.

  1. DIN 19,461: A National Standard for Derived Text FormatsThorsten Trippel, Florian Barth, Jose Calvo Tello et al.our summary
  2. Training data generation for context-dependent rubric-based short answer gradingPavel Šindelář, Filip Prášil, Dávid Slivka et al.our summary

 Works with our summary in our library (4)

The most cited first (OpenAlex citations plus our library's).

 Fields

Arts and Humanities (4)Computer Science (4)Social Sciences (2)

 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

 Top institutions

Institutions on the bylines of its works here, by the number of works.

works and citations from OpenAlex and our library.

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This page in Markdown → https://md.research.elamur.ai/free/en/venues/dtf/2026/