Zero-Shot Information Extraction with Community-Fine-Tuned Large Language Models From Open-Ended Interview Transcripts-Reference-Cited by-同舟云学术

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Zero-Shot Information Extraction with Community-Fine-Tuned Large Language Models From Open-Ended Interview Transcripts

Published:2023-12-15 Issue: Volume: Page:932-937
ISSN:
Container-title:2023 International Conference on Machine Learning and Applications (ICMLA)
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Author:

Kazi Nazmul¹^ORCID,Kahanda Indika¹^ORCID,Rupassara S. Indu²^ORCID,Kindt John W.²

Affiliation:

1. School of Computing University of North Florida,Jacksonville,FL,USA

2. FruitVaccine, Inc.,Champaign,IL,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10459339/10459727/10459999.pdf?arnumber=10459999

Reference10 articles.

1. Machines that Learn how to Code Open-Ended Survey Data

2. Building automated survey coders via interactive machine learning

3. Text Mining Narrative Survey Responses to Develop Engagement Scale Items

4. Automatic Classification of Open-Ended Questions: Check-All-That-Apply Questions

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