Papers by Benno Uthayasooriyar
Few-shot domain adaptation for named-entity recognition via joint constrained k-means and subspace selection (2025.coling-main)
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| Challenge: | Named-entity recognition (NER) requires large annotated datasets, which limits its applicability across domains with varying entity definitions. |
| Approach: | They propose a weakly-supervised algorithm that combines small labeled datasets with large amounts of unlabeled data. |
| Outcome: | The proposed approach achieves state-of-the-art results in few-shot NER . it combines label supervision, cluster size constraints, and domain-specific discriminative subspace selection. |
DocPolarBERT: A Pre-trained Model for Document Understanding with Relative Polar Coordinate Encoding of Layout Structures (2026.eacl-long)
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| Challenge: | Existing models that take text block positions into account are not efficient for document understanding. |
| Approach: | They propose a layout-aware BERT model that takes into account text block positions in relative polar coordinate system rather than the Cartesian one. |
| Outcome: | The proposed model eliminates the need for absolute positional embeddings on a dataset more than six times smaller than the widely used IIT-CDIP corpus. |