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1
Towards Financial Sentiment Analysis in a South African Landscape ...
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2
Improving Short Text Classification Through Global Augmentation Methods
In: Lecture Notes in Computer Science ; 4th International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE) ; https://hal.inria.fr/hal-03414750 ; 4th International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2020, Dublin, Ireland. pp.385-399, ⟨10.1007/978-3-030-57321-8_21⟩ (2020)
Abstract: International audience ; We study the effect of different approaches to text augmentation. To do this we use three datasets that include social media and formal text in the form of news articles. Our goal is to provide insights for practitioners and researchers on making choices for augmentation for classification use cases. We observe that Word2Vec-based augmentation is a viable option when one does not have access to a formal synonym model (like WordNet-based augmentation). The use of mixup further improves performance of all text based augmentations and reduces the effects of overfitting on a tested deep learning model. Round-trip translation with a translation service proves to be harder to use due to cost and as such is less accessible for both normal and low resource use-cases.
Keyword: [INFO]Computer Science [cs]; [SHS.INFO]Humanities and Social Sciences/Library and information sciences; Data augmentation; Deep Neural Networks; Natural Language Processing; Text classification
URL: https://hal.inria.fr/hal-03414750/file/497121_1_En_21_Chapter.pdf
https://hal.inria.fr/hal-03414750
https://doi.org/10.1007/978-3-030-57321-8_21
https://hal.inria.fr/hal-03414750/document
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3
AI4D - African language dataset challenge
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4
Participatory research for low-resourced machine translation : a case study in African languages
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5
Participatory Research for Low-resourced Machine Translation:A Case Study in African Languages
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