Papers by Sanjeev Kumar Karn
News Article Teaser Tweets and How to Generate Them (N19-1)
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| Challenge: | A teaser is a short reading suggestion for an article that is illustrative and includes curiosity-arousing elements to entice potential readers to read particular news items. |
| Approach: | They propose a benchmark and baseline system for the process of generating teasers. |
| Outcome: | The proposed system is best performing with a pointer network. |
Differentiable Multi-Agent Actor-Critic for Multi-Step Radiology Report Summarization (2022.acl-long)
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| Challenge: | Prior research on radiology report summarization has focused on single-step end-to-end models which subsume the task of salient content acquisition. |
| Approach: | They propose a two-step extractive summarization followed by abstractive summaries and a new method that breaks down the extractive part into two independent tasks: extraction of salient (1) sentences and (2) keywords. |
| Outcome: | The proposed model improves on English radiology reports with an overall improvement in F1 score of 3-4% compared to single-step and two-step-with-single-extractive-process baselines. |
RadLing: Towards Efficient Radiology Report Understanding (2023.acl-industry)
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| Challenge: | a few pre-trained language models have produced comparable results in fine-tuning tasks in radiology domain. |
| Approach: | They propose a continuously pretrained language model with ELECTRA-small architecture that can compete with state-of-the-art results in radiology domain. |
| Outcome: | The proposed model can compete with state-of-the-art models for fine tuning tasks in radiology domain. |