Papers by Chirag Jain
Generating Clarification Questions for Disambiguating Contracts (2024.lrec-main)
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| Challenge: | Contractual clauses are obligatory and can detail downstream implementation activities . however, contract ambiguities can be difficult to comprehend and can lead to errors . |
| Approach: | They propose a legal NLP task that generates clarification questions for contracts . they propose generating questions that identify contract ambiguities on a document level . |
| Outcome: | The proposed task generates clarification questions for contracts that detect ambiguities on a document level and can generate an F2 score of 0.87. |
Refining App Reviews: Dataset, Methodology, and Evaluation (2024.emnlp-industry)
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| Challenge: | App reviews are valuable for developers, but often contain typos, spelling errors, and complex sentences, hindering efficient interpretation and slowing down app improvement processes. |
| Approach: | They propose to refine 10,000 original and refined reviews from 10 mobile apps using an annotated dataset of 10,000 pairs of reviews. |
| Outcome: | The proposed dataset includes 10,000 original and refined reviews from 10 mobile applications. |