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wrong bibliography -.-

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Nicole Dresselhaus
2025-05-09 22:42:09 +02:00
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12
Writing/ner4all-case-study.md
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@ -595,11 +595,13 @@ further analysis. With the rapid advancements in local AI models, we anticipate
that such pipelines will become even more accurate and faster over time,
continually democratizing access to advanced NLP for all domains.
**Sources:** This implementation draws on insights from Ahmed et al. (2025) for
the prompt-based NER method, and uses tools like n8n and Ollama as documented in
their official guides. The chosen models (DeepSeek-R1 and Cogito) are described
in their respective releases. All software and models are utilized in accordance
with their licenses for a fully local deployment.
**Sources:** This implementation draws on insights from
[@hiltmann2025ner4allcontextneedusing] for the prompt-based NER method, and uses
tools like n8n and Ollama as documented in their official guides. The chosen
models (DeepSeek-R1[@deepseekai2025deepseekr1incentivizingreasoningcapability]
and Cogito[@deepcogito2025cogito14b]) are described in their respective
releases. All software and models are utilized in accordance with their licenses
for a fully local deployment.
## About LLMs as 'authors' {.appendix}