Papers by Sudhanshu Ranjan
Progressive Sentiment Analysis for Code-Switched Text Data (2022.findings-emnlp)
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| Challenge: | Multilingual transformer language models are used in cross-lingual transfer learning for many NLP tasks such as text classification and named entity recognition. |
| Approach: | They propose a framework that takes the distinction between resource-rich and low-resource language into account and progressively trains from resource-dominated to low-rsource samples. |
| Outcome: | The proposed model outperforms existing methods on low-resource languages and performs well on medium-resourced to high-res languages. |