414 citations · 474 across the 3 of their papers we have counts for
3 papers
cs.CL2019★ 1 cited
Unsupervised Deep Structured Semantic Models for Commonsense Reasoning
Shuohang Wang, Sheng Zhang, Yelong Shen +4
Commonsense reasoning is fundamental to natural language understanding. While traditional methods rely heavily on human-crafted features and knowledge bases, we explore learning co…
cs.CL2016★ 59 cited
A Compare-Aggregate Model for Matching Text Sequences
Shuohang Wang, Jing Jiang
Many NLP tasks including machine comprehension, answer selection and text entailment require the comparison between sequences. Matching the important units between sequences is a k…
cs.CL2016★ 414 cited
Machine Comprehension Using Match-LSTM and Answer Pointer
Shuohang Wang, Jing Jiang
Machine comprehension of text is an important problem in natural language processing. A recently released dataset, the Stanford Question Answering Dataset (SQuAD), offers a large n…