Papers by Kunal Chawla
Semi-supervised Formality Style Transfer using Language Model Discriminator and Mutual Information Maximization (2020.findings-emnlp)
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| Challenge: | Formality style transfer is the task of converting informal sentences to grammatically-correct formal sentences. |
| Approach: | They propose a semi-supervised formality style transfer model that utilizes a language model-based discriminator to maximize the likelihood of the output sentence being formal. |
| Outcome: | The proposed model outperforms state-of-the-art models in terms of automated metrics and human judgement. |
When FLUE Meets FLANG: Benchmarks and Large Pretrained Language Model for Financial Domain (2022.emnlp-main)
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Raj Shah, Kunal Chawla, Dheeraj Eidnani, Agam Shah, Wendi Du, Sudheer Chava, Natraj Raman, Charese Smiley, Jiaao Chen, Diyi Yang
| Challenge: | Pre-trained language models have shown impressive performance on a variety of tasks and domains. |
| Approach: | They propose a domain specific financial LANGuage model which uses financial keywords and phrases for better masking. |
| Outcome: | The proposed model outperforms existing models on a variety of tasks and domains. |