Antara Mahmud


2024

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EmoMix-3L: A Code-Mixed Dataset for Bangla-English-Hindi for Emotion Detection
Nishat Raihan | Dhiman Goswami | Antara Mahmud | Antonios Anastasopoulos | Marcos Zampieri
Proceedings of the 7th Workshop on Indian Language Data: Resources and Evaluation

Code-mixing is a well-studied linguistic phenomenon that occurs when two or more languages are mixed in text or speech. Several studies have been conducted on building datasets and performing downstream NLP tasks on code-mixed data. Although it is not uncommon to observe code-mixing of three or more languages, most available datasets in this domain contain code-mixed data from only two languages. In this paper, we introduce EmoMix-3L, a novel multi-label emotion detection dataset containing code-mixed data from three different languages. We experiment with several models on EmoMix-3L and we report that MuRIL outperforms other models on this dataset.

2023

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SentMix-3L: A Novel Code-Mixed Test Dataset in Bangla-English-Hindi for Sentiment Analysis
Md Nishat Raihan | Dhiman Goswami | Antara Mahmud | Antonios Anastasopoulos | Marcos Zampieri
Proceedings of the First Workshop in South East Asian Language Processing

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OffMix-3L: A Novel Code-Mixed Test Dataset in Bangla-English-Hindi for Offensive Language Identification
Dhiman Goswami | Md Nishat Raihan | Antara Mahmud | Antonios Anastasopoulos | Marcos Zampieri
Proceedings of the 11th International Workshop on Natural Language Processing for Social Media