activity
20132021
most citedRevisiting Pre-Trained Models for Chinese Natural Language Processing

565 citations · 3k across the 108 of their papers we have counts for

collaborators
Showing 2016 · cs.CLShow all

11 papers · 2 filters

cs.CL2016★ 1 cited

Truth Discovery with Memory Network

Luyang Li, Bing Qin, Wenjing Ren +1

Truth discovery is to resolve conflicts and find the truth from multiple-source statements. Conventional methods mostly research based on the mutual effect between the reliability…

cs.CL2016★ 9 cited

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…

cs.CL2016★ 171 cited

Attention-over-Attention Neural Networks for Reading Comprehension

Yiming Cui, Zhipeng Chen, Si Wei +3

Cloze-style queries are representative problems in reading comprehension. Over the past few months, we have seen much progress that utilizing neural network approach to solve Cloze…

cs.CL2016★ 34 cited

Consensus Attention-based Neural Networks for Chinese Reading Comprehension

Yiming Cui, Ting Liu, Zhipeng Chen +2

Reading comprehension has embraced a booming in recent NLP research. Several institutes have released the Cloze-style reading comprehension data, and these have greatly accelerated…

cs.CL2016★ 15 cited

Exploiting Multi-typed Treebanks for Parsing with Deep Multi-task Learning

Jiang Guo, Wanxiang Che, Haifeng Wang +1

Various treebanks have been released for dependency parsing. Despite that treebanks may belong to different languages or have different annotation schemes, they contain syntactic k…

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…