More Embeddings, Better Sequence Labelers?

More Embeddings, Better Sequence Labelers?

17 September 2020

Zhongqiang Huang

Fei Huang

Papers citing "More Embeddings, Better Sequence Labelers?"

6 / 6 papers shown

Title
DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition Zeqi Tan Shen Huang Zixia Jia Jiong Cai Yinghui Li ... Y. Zhuang Kewei Tu Pengjun Xie Fei Huang Yong-jia Jiang 33 8 0 05 May 2023
Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning Xinyu Wang Yong-jia Jiang Nguyen Bach Tao Wang Zhongqiang Huang Fei Huang Kewei Tu 28 144 0 08 May 2021
Structural Knowledge Distillation: Tractably Distilling Information for Structured Predictor Xinyu Wang Yong-jia Jiang Zhaohui Yan Zixia Jia Nguyen Bach Tao Wang Zhongqiang Huang Fei Huang Kewei Tu 26 10 0 10 Oct 2020
Automated Concatenation of Embeddings for Structured Prediction Xinyu Wang Yong-jia Jiang Nguyen Bach Tao Wang Zhongqiang Huang Fei Huang Kewei Tu 35 172 0 10 Oct 2020
Design Challenges and Misconceptions in Neural Sequence Labeling Jie Yang Shuailong Liang Yue Zhang 118 161 0 12 Jun 2018
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,743 0 26 Sep 2016