Andrés Piñeiro Martín, Carmen García-Mateo, Laura Docío Fernández, Maria del Carmen Lopez-Perez, Jose Gandarela-Rodriguez. FalAI: A Dataset for End-to-end Spoken Language Understanding in a Low-Resource Scenario. In Nicoletta Calzolari, Min-Yen Kan, Véronique Hoste, Alessandro Lenci, Sakriani Sakti, Nianwen Xue, editors, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC/COLING 2024, 20-25 May, 2024, Torino, Italy. pages 7107-7116, ELRA and ICCL, 2024. [doi]
@inproceedings{MartinGFLG24, title = {FalAI: A Dataset for End-to-end Spoken Language Understanding in a Low-Resource Scenario}, author = {Andrés Piñeiro Martín and Carmen García-Mateo and Laura Docío Fernández and Maria del Carmen Lopez-Perez and Jose Gandarela-Rodriguez}, year = {2024}, url = {https://aclanthology.org/2024.lrec-main.624}, researchr = {https://researchr.org/publication/MartinGFLG24}, cites = {0}, citedby = {0}, pages = {7107-7116}, booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC/COLING 2024, 20-25 May, 2024, Torino, Italy}, editor = {Nicoletta Calzolari and Min-Yen Kan and Véronique Hoste and Alessandro Lenci and Sakriani Sakti and Nianwen Xue}, publisher = {ELRA and ICCL}, isbn = {978-2-493814-10-4}, }