Distilling Named Entity Recognition Models for Endangered Species from Large Language Models

no code implementations • 13 Mar 2024 • Jesse Atuhurra, Seiveright Cargill Dujohn, Hidetaka Kamigaito, Hiroyuki Shindo, Taro Watanabe

Natural language processing (NLP) practitioners are leveraging large language models (LLM) to create structured datasets from semi-structured and unstructured data sources such as patents, papers, and theses, without having domain-specific knowledge.

In-Context Learning Knowledge Distillation +5