Large Language Models in Linguistic Research: the Pilot and the Copilot
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A8PM69PN7" target="_blank" >RIV/00216208:11320/25:8PM69PN7 - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2024.clib-1.35" target="_blank" >https://aclanthology.org/2024.clib-1.35</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Large Language Models in Linguistic Research: the Pilot and the Copilot
Original language description
In this paper, we present two experiments focussing on linguistic classification and annotation of examples, using zero-shot prompting. The aim is to show how large language models can confirm or reject the linguistic judgements of experts in order to increase the productivity of their work. In the first experiment, new lexical units evoking a particular FrameNet semantic frame are selected simultaneously with the annotation of examples with the core frame elements. The second experiment attempts to categorise verbs into the aspectual classes, assuming that only certain combinations of verbs belonging to different aspectual classes evoke a semantic frame. The linguistic theories underlying the two experiments, the development of the prompts and the results of the experiments are presented.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Sixth International Conference on Computational Linguistics in Bulgaria (CLIB 2024)
ISBN
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ISSN
2367-5578
e-ISSN
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Number of pages
10
Pages from-to
319-328
Publisher name
Department of Computational Linguistics, Institute for Bulgarian Language, Bulgarian Academy of Sciences
Place of publication
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Event location
Sofia, Bulgaria
Event date
Jan 1, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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