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

Nazmul Kazi; Indika Kahanda; S. Indu Rupassara; John W. Kindt

doi:10.1109/ICMLA58977.2023.00138

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

Nazmul Kazi, Indika Kahanda, S. Indu Rupassara, John W. Kindt

School of Computing

University of North Florida

Research output: Chapter or Contribution to Book › Literary contribution

Original language	English
Title of host publication	Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023
Editors	M. Arif Wani, Mihai Boicu, Moamar Sayed-Mouchaweh, Pedro Henriques Abreu, Joao Gama
Pages	932-937
Number of pages	6
ISBN (Electronic)	9798350345346
DOIs	https://doi.org/10.1109/ICMLA58977.2023.00138
State	Published - 2023
Event	22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023 - Jacksonville, United States Duration: Dec 15 2023 → Dec 17 2023

Publication series

Name	Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023

Conference

Conference	22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023
Country/Territory	United States
City	Jacksonville
Period	12/15/23 → 12/17/23

ASJC Scopus Subject Areas

Artificial Intelligence
Computer Science Applications
Computer Vision and Pattern Recognition

Keywords

Data Analysis
Data Extraction
Large Language Models
Machine Learning
Open-Ended Survey Interviews
Text Data Analysis Efficiency
Text Mining
Zero-shot

Access to Document

10.1109/ICMLA58977.2023.00138

Cite this

Kazi, N., Kahanda, I., Rupassara, S. I., & Kindt, J. W. (2023). Zero-Shot Information Extraction with Community-Fine-Tuned Large Language Models From Open-Ended Interview Transcripts. In M. Arif Wani, M. Boicu, M. Sayed-Mouchaweh, P. H. Abreu, & J. Gama (Eds.), Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023 (pp. 932-937). (Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023). https://doi.org/10.1109/ICMLA58977.2023.00138

Zero-Shot Information Extraction with Community-Fine-Tuned Large Language Models From Open-Ended Interview Transcripts. / Kazi, Nazmul; Kahanda, Indika; Rupassara, S. Indu et al.
Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023. ed. / M. Arif Wani; Mihai Boicu; Moamar Sayed-Mouchaweh; Pedro Henriques Abreu; Joao Gama. 2023. p. 932-937 (Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023).

Research output: Chapter or Contribution to Book › Literary contribution

Kazi, N, Kahanda, I, Rupassara, SI & Kindt, JW 2023, Zero-Shot Information Extraction with Community-Fine-Tuned Large Language Models From Open-Ended Interview Transcripts. in M Arif Wani, M Boicu, M Sayed-Mouchaweh, PH Abreu & J Gama (eds), Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023. Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023, pp. 932-937, 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023, Jacksonville, United States, 12/15/23. https://doi.org/10.1109/ICMLA58977.2023.00138

Kazi N, Kahanda I, Rupassara SI, Kindt JW. Zero-Shot Information Extraction with Community-Fine-Tuned Large Language Models From Open-Ended Interview Transcripts. In Arif Wani M, Boicu M, Sayed-Mouchaweh M, Abreu PH, Gama J, editors, Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023. 2023. p. 932-937. (Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023). doi: 10.1109/ICMLA58977.2023.00138

Kazi, Nazmul ; Kahanda, Indika ; Rupassara, S. Indu et al. / Zero-Shot Information Extraction with Community-Fine-Tuned Large Language Models From Open-Ended Interview Transcripts. Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023. editor / M. Arif Wani ; Mihai Boicu ; Moamar Sayed-Mouchaweh ; Pedro Henriques Abreu ; Joao Gama. 2023. pp. 932-937 (Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023).

@inproceedings{f67ed2874cc24b6cb8b375663b60dcb0,

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

keywords = "Data Analysis, Data Extraction, Large Language Models, Machine Learning, Open-Ended Survey Interviews, Text Data Analysis Efficiency, Text Mining, Zero-shot",

author = "Nazmul Kazi and Indika Kahanda and Rupassara, {S. Indu} and Kindt, {John W.}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023 ; Conference date: 15-12-2023 Through 17-12-2023",

year = "2023",

doi = "10.1109/ICMLA58977.2023.00138",

language = "English",

series = "Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023",

pages = "932--937",

editor = "{Arif Wani}, M. and Mihai Boicu and Moamar Sayed-Mouchaweh and Abreu, {Pedro Henriques} and Joao Gama",

booktitle = "Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023",

}

TY - GEN

T1 - Zero-Shot Information Extraction with Community-Fine-Tuned Large Language Models From Open-Ended Interview Transcripts

AU - Kazi, Nazmul

AU - Kahanda, Indika

AU - Rupassara, S. Indu

AU - Kindt, John W.

PY - 2023

Y1 - 2023

KW - Data Analysis

KW - Data Extraction

KW - Large Language Models

KW - Machine Learning

KW - Open-Ended Survey Interviews

KW - Text Data Analysis Efficiency

KW - Text Mining

KW - Zero-shot

UR - http://www.scopus.com/inward/record.url?scp=85190142208&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85190142208&partnerID=8YFLogxK

U2 - 10.1109/ICMLA58977.2023.00138

DO - 10.1109/ICMLA58977.2023.00138

M3 - Literary contribution

AN - SCOPUS:85190142208

T3 - Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023

SP - 932

EP - 937

BT - Proceedings - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023

A2 - Arif Wani, M.

A2 - Boicu, Mihai

A2 - Sayed-Mouchaweh, Moamar

A2 - Abreu, Pedro Henriques

A2 - Gama, Joao

T2 - 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023

Y2 - 15 December 2023 through 17 December 2023

ER -

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

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

Other files and links

Cite this