Transfer learning and in-context learning for stage direction classification in French

This poster expands our work on stage direction classification in French via fine-tuning pre-trained language models and prompting large language models (LLM), testing new models, hyperparameters and prompts. A new qualitative analysis of LLM results showed limits in our reference annotations, and how LLMs can help identify them.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-15
DOI
https://doi.org/10.5281/zenodo.15249771
Primary Topic
Speech Recognition and Synthesis
Type
article
Field-Weighted Citation Impact
0.00
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article

Transfer learning and in-context learning for stage direction classification in French

Zenodo (CERN European Organization for Nuclear Research)
Speech Recognition and Synthesis
article

Transfer learning and in-context learning for stage direction classification in French

article en

Abstract

This poster expands our work on stage direction classification in French via fine-tuning pre-trained language models and prompting large language models (LLM), testing new models, hyperparameters and prompts. A new qualitative analysis of LLM results showed limits in our reference annotations, and how LLMs can help identify them.

Zenodo (CERN European Organization for Nuclear Research)
Universidade de Santiago de Compostela (ES), Université de Strasbourg (FR), Université de Montréal (CA)
Quality Education
Openalex Percentile: Top 77%
Speech Recognition and Synthesis
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Transfer learning and in-context learning for stage direction classification in French · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS