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Stephan M. Goetz

12 papers hereh-index 563 citations24 works total

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

author position
  • middle author3
  • last author9

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • eess.SY5
  • cs.CL3
  • cs.AI2
  • cs.HC1
  • math.OC1

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedNatural Language Processing in the Patent Domain: A Survey

30 citations · 30 across the 12 of their papers we have counts for

collaborators
Showing 2024Show all

2 papers · 1 filter

cs.CL2024

Can Large Language Models Generate High-quality Patent Claims?

Lekang Jiang, Caiqi Zhang, Pascal A Scherz +1

Large language models (LLMs) have shown exceptional performance across various text generation tasks but remain under-explored in the patent domain, which offers highly structured…

cs.AI2024★ 30 cited

Natural Language Processing in the Patent Domain: A Survey

Lekang Jiang, Stephan Goetz

Patents, which encapsulate crucial technical and legal information in text form and referenced drawings, present a rich domain for natural language processing (NLP) applications. A…

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