no code implementations • 20 Jul 2021 • Huiqiang Jiang, Guoxin Wang, WEILE CHEN, Chengxi Zhang, Börje F. Karlsson
While named entity recognition (NER) is a key task in natural language processing, most approaches only target flat entities, ignoring nested structures which are common in many scenarios.
Ranked #1 on Nested Mention Recognition on ACE 2005
1 code implementation • ACL 2021 • WEILE CHEN, Huiqiang Jiang, Qianhui Wu, Börje F. Karlsson, Yi Guan
Neural methods have been shown to achieve high performance in Named Entity Recognition (NER), but rely on costly high-quality labeled data for training, which is not always available across languages.
no code implementations • 26 Jul 2020 • Jia Su, Yi Guan, Yuge Li, WEILE CHEN, He Lv, Yageng Yan
Recommender systems have fulfilled an important role in everyday life.
no code implementations • IEEE Access 2020 • YANG YANG, WEILE CHEN, Muyi Wang, DEXING ZHONG, Shaoyi Du
Different from traditional feature-based methods, we design a hybrid feature representation with color moments of the point, which could be applied naturally for any color point cloud.