Papers by Rakeb Hasan

1 papers
Named Entity Recognition in Industrial Tables using Tabular Language Models (2022.emnlp-industry)

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Challenge: Table transformers are used for encoding tabular data but are not yet used in industrial applications.
Approach: They propose a dedicated table data augmentation strategy based on available domain-specific knowledge graphs to enhance the performance of transformer-based models.
Outcome: The proposed model outperforms baseline models and its inductive bias is vital for convergence of transformer-based models.

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