Sourangshu Bhattacharya
3 papers in the PaperMetrix corpus
Papers by this author
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PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction
2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Aspect Sentiment Triplet Extraction (ASTE) deals with extracting opinion triplets, consisting of an opinion target or aspect, its associated sentiment, and the corresponding opinion term/span explaining the rationale behind the sentiment. Existing research efforts are …
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AR-BERT: Aspect-relation enhanced Aspect-level Sentiment Classification with Multi-modal Explanations
2022 · Proceedings of the ACM Web Conference 2022
Aspect level sentiment classification (ALSC) is a difficult problem with state-of-the-art models showing less than 80% macro-F1 score on benchmark datasets. Existing models do not incorporate information on aspect-aspect relations in knowledge graphs (KGs), e.g. …
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EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning
2024
Kiran Purohit, Venktesh V, Raghuram Devalla, Krishna Mohan Yerragorla, Sourangshu Bhattacharya, Avishek Anand. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. 2024.