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Observations in Students' Theses : A Critical Analysis of Use-Cases, Models and Problems in Natural Language Processing
Jegan, Robin (2024): Observations in Students’ Theses : A Critical Analysis of Use-Cases, Models and Problems in Natural Language Processing, in: Jajwalya Karajgikar, Andrew Janco, Jessica Otis, u. a. (Hrsg.), DH2024 Book of Abstracts, Zenodo, S. 307–308, doi: 10.5281/zenodo.14801906.
Faculty/Chair:
Author:
Title of the compilation:
DH2024 Book of Abstracts
Editors:
Karajgikar, Jajwalya
Janco, Andrew
Otis, Jessica
Conference:
Digital Humanities 2024 (DH2024) , 5-10 August 2024 ; Washington, DC
Publisher Information:
Year of publication:
2024
Pages:
Language:
English
Abstract:
This document describes the observations captured while supervising several students' theses, which were submitted at the German University of Bamberg. The research field Natural Language Processing and different use-cases therein were the focus of the theses, and several over-arching conclusions have been drawn, such as the influence of Large Language Models (LLM) on the research field.
Furthermore, as several of the theses have shown, the necessity of LLMs for the respective use-cases have been critically analyzed. Traditional and simpler models, such as support vector machines or rule-based information extraction systems were described in the paper as an alternative to LLMs.
Furthermore, as several of the theses have shown, the necessity of LLMs for the respective use-cases have been critically analyzed. Traditional and simpler models, such as support vector machines or rule-based information extraction systems were described in the paper as an alternative to LLMs.
Keywords:
Natural Language Processing
Type:
Conferenceobject
Activation date:
February 6, 2025
Versioning
Question on publication
Permalink
https://fis.uni-bamberg.de/handle/uniba/106266