Papers by Abhijit Kumar Rai

1 papers
Fin-ExBERT: User Intent based Text Extraction in Financial Context using Graph-Augmented BERT and trainable Plugin (2025.emnlp-industry)

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Challenge: Financial dialogue transcripts pose a unique challenge for sentence-level information extraction due to their informal structure, domain-specific vocabulary, and variable intent density.
Approach: They propose a framework for extracting user intent–relevant sentences from financial service calls.
Outcome: The proposed framework shows strong precision and F1 performance on real-world transcripts . financial transcripts are a challenge due to their informal structure and domain-specific vocabulary .

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