24 citations · 82 across the 20 of their papers we have counts for
Showing 2016Show all
3 papers · 1 filter
cs.CL2016★ 16 cited
Generating and Exploiting Large-scale Pseudo Training Data for Zero Pronoun Resolution
Ting Liu, Yiming Cui, Qingyu Yin +3
Most existing approaches for zero pronoun resolution are heavily relying on annotated data, which is often released by shared task organizers. Therefore, the lack of annotated data…
cs.CL2016★ 4 cited
Neural Recovery Machine for Chinese Dropped Pronoun
Wei-Nan Zhang, Ting Liu, Qingyu Yin +1
Dropped pronouns (DPs) are ubiquitous in pro-drop languages like Chinese, Japanese etc. Previous work mainly focused on painstakingly exploring the empirical features for DPs recov…
cs.CL2016★ 6 cited
A Deep Neural Network for Chinese Zero Pronoun Resolution
Qingyu Yin, Weinan Zhang, Yu Zhang +1
Existing approaches for Chinese zero pronoun resolution overlook semantic information. This is because zero pronouns have no descriptive information, which results in difficulty in…