Yingjie Gu — accepted AI-conference papers

2022

Delving Deep into Regularity: A Simple but Effective Method for Chinese Named Entity Recognition

Yingjie Gu, Xiaoye Qu, Zhefeng Wang, Yi Zheng, Baoxing Huai, Nicholas Jing Yuan

NAACL 2022findings

Recent years have witnessed the improving performance of Chinese Named Entity Recognition (NER) from proposing new frameworks or incorporating word lexicons. However, the inner composition of entity mentions in character-level Chinese NER has been rarely studied. Actually, most mentions of regular t…

Cited by 67 Source ↗PDF ↗Scholar ↗

2021

Read, Retrospect, Select: An MRC Framework to Short Text Entity Linking

Yingjie Gu, Xiaoye Qu, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Xiaolin Gui

AAAI 2021technical

Entity linking (EL) for the rapidly growing short text (e.g. search queries and news titles) is critical to industrial applications. Most existing approaches relying on adequate context for long text EL are not effective for the concise and sparse short text. In this paper, we propose a novel framew…

Cited by 32 Source ↗PDF ↗Scholar ↗