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Ahmed Hamdi

3 papers here

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

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • cs.DL1
  • cs.LG1
ORCID 0000-0002-8964-2135

identity via Semantic Scholar / OpenAlex

most citedYes but.. Can ChatGPT Identify Entities in Historical Documents?

8 citations · 10 across the 3 of their papers we have counts for

collaborators

3 papers

cs.DL2023★ 8 cited

Yes but.. Can ChatGPT Identify Entities in Historical Documents?

Carlos-Emiliano González-Gallardo, Emanuela Boros, Nancy Girdhar +3

Large language models (LLMs) have been leveraged for several years now, obtaining state-of-the-art performance in recognizing entities from modern documents. For the last few month…

cs.CL2023★ 2 cited

DocILE Benchmark for Document Information Localization and Extraction

Štěpán Šimsa, Milan Šulc, Michal Uřičář +8

This paper introduces the DocILE benchmark with the largest dataset of business documents for the tasks of Key Information Localization and Extraction and Line Item Recognition. It…

cs.LG2023

DocILE 2023 Teaser: Document Information Localization and Extraction

Štěpán Šimsa, Milan Šulc, Matyáš Skalický +2

The lack of data for information extraction (IE) from semi-structured business documents is a real problem for the IE community. Publications relying on large-scale datasets use on…

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