D
Dhruv Kumar
Researcher at University of Waterloo
Publications - 23
Citations - 236
Dhruv Kumar is an academic researcher from University of Waterloo. The author has contributed to research in topics: Computer science & Sentence. The author has an hindex of 5, co-authored 15 publications receiving 97 citations. Previous affiliations of Dhruv Kumar include Indian Institute of Information Technology, Allahabad.
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The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics.
Sebastian Gehrmann,Tosin P. Adewumi,Karmanya Aggarwal,Pawan Sasanka Ammanamanchi,Aremu Anuoluwapo,Antoine Bosselut,Khyathi Raghavi Chandu,Miruna Clinciu,Dipanjan Das,Kaustubh Dhole,Wanyu Du,Esin Durmus,Ondřej Dušek,Chris Chinenye Emezue,Varun Gangal,Cristina Garbacea,Tatsunori Hashimoto,Yufang Hou,Yacine Jernite,Harsh Jhamtani,Yangfeng Ji,Shailza Jolly,Mihir Kale,Dhruv Kumar,Faisal Ladhak,Aman Madaan,Mounica Maddela,Khyati Mahajan,Saad Mahamood,Bodhisattwa Prasad Majumder,Pedro Henrique Martins,Angelina McMillan-Major,Simon Mille,Emiel van Miltenburg,Moin Nadeem,Shashi Narayan,Vitaly Nikolaev,Rubungo Andre Niyongabo,Salomey Osei,Ankur P. Parikh,Laura Perez-Beltrachini,Niranjan Ramesh Rao,Vikas Raunak,Juan Diego Rodriguez,Sashank Santhanam,João Sedoc,Thibault Sellam,Samira Shaikh,Anastasia Shimorina,Marco Antonio Sobrevilla Cabezudo,Hendrik Strobelt,Nishant Subramani,Wei Xu,Diyi Yang,Akhila Yerukola,Jiawei Zhou +55 more
TL;DR: GEM as discussed by the authors is a living benchmark for natural language generation (NLG), its Evaluation and Metrics, which provides an environment in which models can easily be applied to a wide set of tasks and in which evaluation strategies can be tested.
Posted Content
Iterative Edit-Based Unsupervised Sentence Simplification
TL;DR: A novel iterative, edit-based approach to unsupervised sentence simplification guided by a scoring function involving fluency, simplicity, and meaning preservation that is more controllable and interpretable.
Proceedings ArticleDOI
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
Sebastian Gehrmann,Tosin P. Adewumi,Karmanya Aggarwal,Pawan Sasanka Ammanamanchi,Anuoluwapo Aremu,Antoine Bosselut,Khyathi Raghavi Chandu,Miruna-Adriana Clinciu,Dipanjan Das,Kaustubh Dhole,Wanyu Du,Esin Durmus,Ondřej Dušek,Chris Chinenye Emezue,Varun Gangal,Cristina Garbacea,Tatsunori Hashimoto,Yufang Hou,Yacine Jernite,Harsh Jhamtani,Yangfeng Ji,Shailza Jolly,Mihir Kale,Dhruv Kumar,Faisal Ladhak,Aman Madaan,Mounica Maddela,Khyati Mahajan,Saad Mahamood,Bodhisattwa Prasad Majumder,Pedro Henrique Martins,Angelina McMillan-Major,Simon Mille,Emiel van Miltenburg,Moin Nadeem,Shashi Narayan,Vitaly Nikolaev,Andre Niyongabo Rubungo,Salomey Osei,Ankur P. Parikh,Laura Perez-Beltrachini,Niranjan Ramesh Rao,Vikas Raunak,Juan Diego Rodriguez,Sashank Santhanam,João Sedoc,Thibault Sellam,Samira Shaikh,Anastasia Shimorina,Marco Antonio Sobrevilla Cabezudo,Hendrik Strobelt,Nishant Subramani,Wei Xu,Diyi Yang,Akhila Yerukola,Jiawei Zhou +55 more
TL;DR: GEM as discussed by the authors is a living benchmark for natural language generation (NLG), its Evaluation and Metrics, which provides an environment in which models can easily be applied to a wide set of tasks and in which evaluation strategies can be tested.
Proceedings ArticleDOI
Iterative Edit-Based Unsupervised Sentence Simplification
TL;DR: This article proposed an iterative, edit-based approach to unsupervised sentence simplification, which is guided by a scoring function involving fluency, simplicity, and meaning preservation, and iteratively perform word and phrase-level edits on the complex sentence.
Proceedings ArticleDOI
Consentio: Managing Consent to Data Access using Permissioned Blockchains
TL;DR: Consentio is presented, a scalable consent management system based on the Hyperledger Fabric permissioned blockchain that can handle as many as 6,000 access requests per second, allowing it to scale to very large deployments.