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researcher

Jack H. Culbert

GESIS Leibniz Insitute for the Social Sciences

3 papers hereh-index 2149 citations8 works total

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

author position
  • first author2
  • middle author1

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

fields
  • cs.DL2
  • cs.CL1
affiliations
  • GESIS Leibniz Insitute for the Social Sciences

identity via Semantic Scholar / OpenAlex

most citedUtilizing Large Language Models for Named Entity Recognition in Traditional Chinese Medicine against COVID-19 Literature: Comparative Study

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.DL2025

Investigating the originality of scientific papers across time and domain: A quantitative analysis

Jack H. Culbert, Yoed N. Kenett, Philipp Mayr

The study of creativity in science has long sought quantitative metrics capable of capturing the originality of the scientific insights contained within articles and other scientif…

cs.DL2025

Originality in scientific titles and abstracts can predict citation count

Jack H. Culbert, Yoed N. Kenett, Philipp Mayr

In this research-in-progress paper, we apply a computational measure correlating with originality from creativity science: Divergent Semantic Integration (DSI), to a selection of 9…

cs.CL2024★ 1 cited

Utilizing Large Language Models for Named Entity Recognition in Traditional Chinese Medicine against COVID-19 Literature: Comparative Study

Xu Tong, Nina Smirnova, Sharmila Upadhyaya +5

Objective: To explore and compare the performance of ChatGPT and other state-of-the-art LLMs on domain-specific NER tasks covering different entity types and domains in TCM against…

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