Leveraging Large Language Models to Build a Cutting-Edge French Word Sense Disambiguation Corpus

Mouheb Mehdoui, Amel Fraisse, Mounir Zrigui

Open source

DOI
10.21203/rs.3.rs-5393717/v1
Published
2024-11-27
Container
Not recorded
Publisher
Springer Science and Business Media LLC
Open access
unknown

Credibility signals

uncertain Score 60/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.21203/rs.3.rs-5393717/v1,
  title = {Leveraging Large Language Models to Build a Cutting-Edge French Word Sense Disambiguation Corpus},
  author = {Mouheb Mehdoui and Amel Fraisse and Mounir Zrigui},
  year = {2024},
  doi = {10.21203/rs.3.rs-5393717/v1},
  url = {https://doi.org/10.21203/rs.3.rs-5393717/v1}
}

RIS

TY  - JOUR
TI  - Leveraging Large Language Models to Build a Cutting-Edge French Word Sense Disambiguation Corpus
AU  - Mouheb Mehdoui
AU  - Amel Fraisse
AU  - Mounir Zrigui
PY  - 2024
DO  - 10.21203/rs.3.rs-5393717/v1
UR  - https://doi.org/10.21203/rs.3.rs-5393717/v1
ER  - 

APA

Mehdoui, M., Fraisse, A., & Zrigui, M. (2024). Leveraging Large Language Models to Build a Cutting-Edge French Word Sense Disambiguation Corpus. https://doi.org/10.21203/rs.3.rs-5393717/v1

Source records