Papers by Dipankar Srirag
BESSTIE: A Benchmark for Sentiment and Sarcasm Classification for Varieties of English (2025.findings-acl)
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| Challenge: | despite large language models showing bias against non-mainstream varieties, there are no labeled datasets for sentiment analysis of English. |
| Approach: | They propose a benchmark for sentiment and sarcasm classification for three varieties of English . they manually annotate the datasets with sentiment and the sarcasmatic labels . |
| Outcome: | The proposed benchmark is based on a web-based content from Google Place reviews and Reddit comments. |
Predicting the Target Word of Game-playing Conversations using a Low-Rank Dialect Adapter for Decoder Models (2025.naacl-short)
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| Challenge: | Existing work proposes dialect adaptation for encoder models or encoder-decoder models. |
| Approach: | They propose to use MD-3 to combine task adapters and dialect adapters to decoder models using a masked word game-playing conversation. |
| Outcome: | The proposed architecture outperforms baselines on Indian English and Nigerian English on a masked conversation with two models. |