90 citations · 175 across the 3 of their papers we have counts for
3 papers
cs.CL2019★ 40 cited
Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing
Ben Bogin, Matt Gardner, Jonathan Berant
Research on parsing language to SQL has largely ignored the structure of the database (DB) schema, either because the DB was very simple, or because it was observed at both trainin…
cs.CL2019★ 45 cited
Grammar-based Neural Text-to-SQL Generation
Kevin Lin, Ben Bogin, Mark Neumann +2
The sequence-to-sequence paradigm employed by neural text-to-SQL models typically performs token-level decoding and does not consider generating SQL hierarchically from a grammar.…
cs.CL2017★ 90 cited
Language Generation with Recurrent Generative Adversarial Networks without Pre-training
Ofir Press, Amir Bar, Ben Bogin +2
Generative Adversarial Networks (GANs) have shown great promise recently in image generation. Training GANs for language generation has proven to be more difficult, because of the…