activity
20192023
most citedStructure-Grounded Pretraining for Text-to-SQL

84 citations · 357 across the 32 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cs.LG2021★ 9 cited

TopNet: Learning from Neural Topic Model to Generate Long Stories

Yazheng Yang, Boyuan Pan, Deng Cai +1

Long story generation (LSG) is one of the coveted goals in natural language processing. Different from most text generation tasks, LSG requires to output a long story of rich conte…

cs.CL2021★ 2 cited

Towards Transparent Interactive Semantic Parsing via Step-by-Step Correction

Lingbo Mo, Ashley Lewis, Huan Sun +1

Existing studies on semantic parsing focus primarily on mapping a natural-language utterance to a corresponding logical form in one turn. However, because natural language can cont…

cs.CL2021

ReasonBERT: Pre-trained to Reason with Distant Supervision

Xiang Deng, Yu Su, Alyssa Lees +3

We present ReasonBert, a pre-training method that augments language models with the ability to reason over long-range relations and multiple, possibly hybrid contexts. Unlike exist…

cs.CL2021★ 2 cited

Differential Privacy for Text Analytics via Natural Text Sanitization

Xiang Yue, Minxin Du, Tianhao Wang +3

Texts convey sophisticated knowledge. However, texts also convey sensitive information. Despite the success of general-purpose language models and domain-specific mechanisms with d…

cs.LG2021★ 12 cited

Learning Structural Edits via Incremental Tree Transformations

Ziyu Yao, Frank F. Xu, Pengcheng Yin +2

While most neural generative models generate outputs in a single pass, the human creative process is usually one of iterative building and refinement. Recent work has proposed mode…