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researcher

Daniel Dan

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedMining United Nations General Assembly Debates

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing 2024Show all

1 paper · 1 filter

cs.CL2024★ 1 cited

Mining United Nations General Assembly Debates

Mateusz Grzyb, Mateusz Krzyziński, Bartłomiej Sobieski +4

This project explores the application of Natural Language Processing (NLP) techniques to analyse United Nations General Assembly (UNGA) speeches. Using NLP allows for the efficient…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.