Enhancing Pre-trained Chinese Character Representation with Word-aligned
Attention

v1v2 (latest)

Enhancing Pre-trained Chinese Character Representation with Word-aligned Attention

Annual Meeting of the Association for Computational Linguistics (ACL), 2019

7 November 2019

ArXiv (abs)PDF HTML

Papers citing "Enhancing Pre-trained Chinese Character Representation with Word-aligned Attention"

7 / 7 papers shown

Title
Constructing Word-Context-Coupled Space Aligned with Associative Knowledge Relations for Interpretable Language ModelingAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Fanyu Wang Zhenping Xie 198 0 0 19 May 2023
Large-scale Multi-Modal Pre-trained Models: A Comprehensive SurveyMachine Intelligence Research (MIR), 2023 Tianlin Li Guangyao Chen Guangwu Qian Pengcheng Gao Xiaoyong Wei Yaowei Wang Yonghong Tian Wen Gao AI4CE VLM 384 259 0 20 Feb 2023
elBERto: Self-supervised Commonsense Learning for Question AnsweringKnowledge-Based Systems (KBS), 2022 Xunlin Zhan Yuan Li Xiao Dong Xiaodan Liang Zhiting Hu Lawrence Carin SSL RALM LRM 144 9 0 17 Mar 2022
A Survey of Knowledge Enhanced Pre-trained Models Jian Yang Xinyu Hu Gang Xiao Yulong Shen KELM 375 7 0 01 Oct 2021
ZEN 2.0: Continue Training and Adaption for N-gram Enhanced Text Encoders Yan Song Tong Zhang Yonggang Wang Kai-Fu Lee 156 50 0 04 May 2021
Lattice-BERT: Leveraging Multi-Granularity Representations in Chinese Pre-trained Language ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021 Yuxuan Lai Yijia Liu Yansong Feng Songfang Huang Dongyan Zhao VLM AI4CE 173 39 0 15 Apr 2021
LET: Linguistic Knowledge Enhanced Graph Transformer for Chinese Short Text MatchingAAAI Conference on Artificial Intelligence (AAAI), 2021 Boer Lyu Lu Chen Su Zhu Kai Yu 163 52 0 25 Feb 2021