Noisy and Unbalanced Multimodal Document Classification: Textbook Exercises as a Use Case
Author:
Affiliation:
1. Cedric, CNAM, FR
2. JFLI, NII, CNRS, JP and Université Paris-Saclay, France
3. MICS, CentraleSupélec, FR
4. SEED, INSERM, Université Paris Cité, FR and Learning Planet Institute, France
Funder
ANR
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3617233.3617239
Reference38 articles.
1. DocFormer: End-to-End Transformer for Document Understanding
2. Mokhtar B. Billami , Thomas François , and Núria Gala . 2018 . ReSyf: a French lexicon with ranked synonyms . In Proceedings of the 27th International Conference on Computational Linguistics. Mokhtar B. Billami, Thomas François, and Núria Gala. 2018. ReSyf: a French lexicon with ranked synonyms. In Proceedings of the 27th International Conference on Computational Linguistics.
3. Dhawaleswar Rao Ch and Sujan Kumar Saha . 2022. Generation of Multiple-Choice Questions from Textbook Contents of School-Level Subjects . IEEE Transactions on Learning Technologies ( 2022 ). Dhawaleswar Rao Ch and Sujan Kumar Saha. 2022. Generation of Multiple-Choice Questions from Textbook Contents of School-Level Subjects. IEEE Transactions on Learning Technologies (2022).
4. Gabrielle Chenais Cédric Gil-Jardiné Hélène Touchais Eric Tellier Xavier Combes Loick Bourdois Philippe Revel and Emmanuel Lagarde. 2022. Development and Validation of Deep Learning Transformer Models for Building a Comprehensive and Real-time Trauma Observatory. In preprint. Gabrielle Chenais Cédric Gil-Jardiné Hélène Touchais Eric Tellier Xavier Combes Loick Bourdois Philippe Revel and Emmanuel Lagarde. 2022. Development and Validation of Deep Learning Transformer Models for Building a Comprehensive and Real-time Trauma Observatory. In preprint.
5. Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2019 . BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding . In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
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