Ankur Parikh
Ankur is a Research Scientist at Google NYC and his primary interests are in natural language processing and machine learning. Ankur received his PhD from Carnegie Mellon in 2015 (advised by Prof. Eric Xing) and his B.S.E. from Princeton University in 2009. He has received a best paper runner up award at EMNLP 2014 and a best paper in translational bioinformatics at ISMB 2011.
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SEAHORSE: A Dataset of Summaries Annotated with Human Ratings in Six Languages
Elizabeth Clark
Shruti Rijhwani
Sebastian Gehrmann
EMNLP 2023, Association for Computational Linguistics (2023)
Improving Compositional Generalization with Self-Training for Data-to-Text Generation
Jinfeng Rao
Yi Tay
Mihir Sanjay Kale
Emma Strubell
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Association for Computational Linguistics, Dublin, Ireland (2022), pp. 4205-4219
ToTTo: A Controlled Table-To-Text Generation Dataset
Sebastian Gehrmann
Bhuwan Dhingra
Manaal Faruqui
Diyi Yang
EMNLP (2020)
Handling Divergent Reference Texts when Evaluating Table-to-Text Generation
Bhuwan Dhingra
Manaal Faruqui
Ming-Wei Chang
Proc. of ACL 2019
Natural Questions: a Benchmark for Question Answering Research
Olivia Redfield
Danielle Epstein
Illia Polosukhin
Matthew Kelcey
Jacob Devlin
Llion Jones
Ming-Wei Chang
Jakob Uszkoreit
Transactions of the Association of Computational Linguistics (2019) (to appear)
