1 code implementation • Findings of the Association for Computational Linguistics 2020 • Yuyang Nie, Yuanhe Tian, Yan Song, Xiang Ao, Xiang Wan
Named entity recognition (NER) is highly sensitive to sentential syntactic and semantic properties where entities may be extracted according to how they are used and placed in the running text.
Ranked #3 on Named Entity Recognition (NER) on WNUT 2016
Chinese Named Entity Recognition named-entity-recognition +2
1 code implementation • EMNLP 2020 • Yuyang Nie, Yuanhe Tian, Xiang Wan, Yan Song, Bo Dai
In particular, we obtain the augmented semantic information from a large-scale corpus, and propose an attentive semantic augmentation module and a gate module to encode and aggregate such information, respectively.
Ranked #4 on Named Entity Recognition (NER) on WNUT 2016
Chinese Named Entity Recognition named-entity-recognition +3