Papers by Rohan Jain
EROS:Entity-Driven Controlled Policy Document Summarization (2024.lrec-main)
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| Challenge: | a privacy policy is a crucial component of any organization that allows it to legally collect, process, store, and/or distribute personal data. |
| Approach: | They propose to use a policy-document summarization dataset to enforce the summaries to include critical privacy-related entities and organization’s rationale in collecting those entities. |
| Outcome: | The proposed model improves over baselines and qualitatively evaluates the proposed model on human and qualitative data. |
AttriSage: Product Attribute Value Extraction Using Graph Neural Networks (2024.eacl-srw)
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| Challenge: | Existing methods for extracting attribute value from product descriptions are limited in their accuracy. |
| Approach: | They propose a method for extracting product attribute value from product description using graphs and neural networks. |
| Outcome: | The proposed method improves product description attribute value extraction accuracy compared to baseline methods. |