activity
20192022
most citedDomain-Specific NER via Retrieving Correlated Samples

9 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20221 cited

Visual Spatial Description: Controlled Spatial-Oriented Image-to-Text Generation

Yu Zhao, Jianguo Wei, Zhichao Lin +3

Image-to-text tasks, such as open-ended image captioning and controllable image description, have received extensive attention for decades. Here, we further advance this line of wo…

cs.CL20229 cited

Domain-Specific NER via Retrieving Correlated Samples

Xin Zhang, Yong Jiang, Xiaobin Wang +4

Successful Machine Learning based Named Entity Recognition models could fail on texts from some special domains, for instance, Chinese addresses and e-commerce titles, where requir…

cs.CL2022

Identifying Chinese Opinion Expressions with Extremely-Noisy Crowdsourcing Annotations

Xin Zhang, Guangwei Xu, Yueheng Sun +3

Recent works of opinion expression identification (OEI) rely heavily on the quality and scale of the manually-constructed training corpus, which could be extremely difficult to sat…

cs.CL2021

A Graph-Based Neural Model for End-to-End Frame Semantic Parsing

Zhichao Lin, Yueheng Sun, Meishan Zhang

Frame semantic parsing is a semantic analysis task based on FrameNet which has received great attention recently. The task usually involves three subtasks sequentially: (1) target…

cs.CY20192 cited

The Mass, Fake News, and Cognition Security

Bin Guo, Yasan Ding, Yueheng Sun +2

The wide spread of fake news in social networks is posing threats to social stability, economic development and political democracy etc. Numerous studies have explored the effectiv…