Papers by Sudip Kumar Naskar
IndicFinNLP: Financial Natural Language Processing for Indian Languages (2024.lrec-main)
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| Challenge: | IndicFinNLP is a collection of 9 datasets relating to FinNLP for three Indian languages. |
| Approach: | They propose to use financial NLP to detect exaggerated numerals in financial texts written in Hindi, Bengali, and Telugu. |
| Outcome: | The proposed framework detects exaggerated numerals in financial texts written in Hindi, Bengali, and Telugu. |
The Transference Architecture for Automatic Post-Editing (2020.coling-main)
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| Challenge: | A research challenge is the search for architectures that best support the capture, preparation and provision of src and mt information and its integration with pe decisions. |
| Approach: | They propose a multi-encoder based neural APE model that conditions post-editing decisions on both the source and machine translated text as inputs. |
| Outcome: | The proposed model outperforms the best performing systems by 1 BLEU point on the WMT 2016, 2017, and 2018 English–German APE shared tasks. |