69 citations · 343 across the 36 of their papers we have counts for
4 papers · 1 filter
Learning to Start for Sequence to Sequence Architecture
Qingfu Zhu, Weinan Zhang, Lianqiang Zhou +1
The sequence to sequence architecture is widely used in the response generation and neural machine translation to model the potential relationship between two sentences. It typical…
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…
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…
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…