72 citations · 342 across the 37 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
cs.CL2019★ 17 cited
Learning from Explanations with Neural Execution Tree
Ziqi Wang, Yujia Qin, Wenxuan Zhou +5
While deep neural networks have achieved impressive performance on a range of NLP tasks, these data-hungry models heavily rely on labeled data, which restricts their applications i…
cs.CL2019★ 15 cited
Improving Sequence Modeling Ability of Recurrent Neural Networks via Sememes
Yujia Qin, Fanchao Qi, Sicong Ouyang +5
Sememes, the minimum semantic units of human languages, have been successfully utilized in various natural language processing applications. However, most existing studies exploit…