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ASTRAL: Adversarial Trained LSTM-CNN for Named Entity Recognition

ASTRAL: Adversarial Trained LSTM-CNN for Named Entity Recognition

Knowledge-Based Systems (KBS), 2020
2 September 2020
Jiuniu Wang
Wenjia Xu
Xingyu Fu
Guangluan Xu
Yirong Wu
ArXiv (abs)PDFHTML

Papers citing "ASTRAL: Adversarial Trained LSTM-CNN for Named Entity Recognition"

4 / 4 papers shown
Title
Adversarial Adaptation for French Named Entity Recognition
Adversarial Adaptation for French Named Entity RecognitionEuropean Conference on Information Retrieval (ECIR), 2023
Arjun Choudhry
Inder Khatri
Pankaj Gupta
Aaryan Gupta
Maxime Nicol
Marie-Jean Meurs
Dinesh Kumar Vishwakarma
108
0
0
12 Jan 2023
GNN-SL: Sequence Labeling Based on Nearest Examples via GNN
GNN-SL: Sequence Labeling Based on Nearest Examples via GNNAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Shuhe Wang
Yuxian Meng
Rongbin Ouyang
Jiwei Li
Tianwei Zhang
Lingjuan Lyu
Guoyin Wang
195
13
0
05 Dec 2022
Hero-Gang Neural Model For Named Entity Recognition
Hero-Gang Neural Model For Named Entity RecognitionNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Jinpeng Hu
Yaling Shen
Yang Liu
Xiang Wan
Tsung-Hui Chang
108
19
0
15 May 2022
Why KDAC? A general activation function for knowledge discovery
Why KDAC? A general activation function for knowledge discovery
Zhenhua Wang
Dong Gao
Haozhe Liu
Fanglin Liu
214
12
0
27 Nov 2021
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