Papers by Tanvir Islam
EmoNoBa: A Dataset for Analyzing Fine-Grained Emotions on Noisy Bangla Texts (2022.aacl-short)
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| Challenge: | EmoNoBa is a dataset for fine-grained emotion detection on Bangla text . it is based on 22698 comments from social media sites on 12 domains . |
| Approach: | They propose a manually annotated dataset of 22,698 Bangla comments from social media sites on 12 different domains to use for fine-grained emotion detection. |
| Outcome: | The proposed dataset of 22,698 public comments on 12 domains shows that hand-crafted features perform better than neural networks and pre-trained language models. |
Shironaam: Bengali News Headline Generation using Auxiliary Information (2023.eacl-main)
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| Challenge: | Automated headline generation systems have the potential to assist editors in finding interesting headlines to attract visitors or readers. |
| Approach: | They propose to use Bengali news article-headline pairings with auxiliary data to better model headline generation using pre-trained language models. |
| Outcome: | The proposed model improves on a Bengali news headline generation dataset by 3 to 10 percentage points over baselines. |