Sahar Ghannay, Antoine Neuraz, Sophie Rosset. What is best for spoken language understanding: small but task-dependant embeddings or huge but out-of-domain embeddings?. In 2020 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2020, Barcelona, Spain, May 4-8, 2020. pages 8114-8118, IEEE, 2020. [doi]
@inproceedings{GhannayNR20, title = {What is best for spoken language understanding: small but task-dependant embeddings or huge but out-of-domain embeddings?}, author = {Sahar Ghannay and Antoine Neuraz and Sophie Rosset}, year = {2020}, doi = {10.1109/ICASSP40776.2020.9053278}, url = {https://doi.org/10.1109/ICASSP40776.2020.9053278}, researchr = {https://researchr.org/publication/GhannayNR20}, cites = {0}, citedby = {0}, pages = {8114-8118}, booktitle = {2020 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2020, Barcelona, Spain, May 4-8, 2020}, publisher = {IEEE}, isbn = {978-1-5090-6631-5}, }