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Graph Convolutional Networks for Named Entity Recognition
v1v2 (latest)

Graph Convolutional Networks for Named Entity Recognition

28 September 2017
A. Cetoli
Stefano Bragaglia
Andrew D. O'Harney
Marc Sloan
    GNN
ArXiv (abs)PDFHTML

Papers citing "Graph Convolutional Networks for Named Entity Recognition"

6 / 6 papers shown
Title
Named entity recognition architecture combining contextual and global
  features
Named entity recognition architecture combining contextual and global features
T. Hanh
A. Doucet
Nicolas Sidère
Jose G. Moreno
Senja Pollak
NAI
49
12
0
15 Dec 2021
GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple
  Intent Detection and Slot Filling
GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot Filling
Libo Qin
Fuxuan Wei
Tianbao Xie
Xiao Xu
Wanxiang Che
Ting Liu
81
86
0
03 Jun 2021
Improving Named Entity Recognition with Attentive Ensemble of Syntactic
  Information
Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information
Yuyang Nie
Yuanhe Tian
Yan Song
Xiang Ao
Xiang Wan
NAI
73
71
0
29 Oct 2020
Self-Attentional Models for Lattice Inputs
Self-Attentional Models for Lattice Inputs
Matthias Sperber
Graham Neubig
Ngoc-Quan Pham
A. Waibel
78
44
0
04 Jun 2019
Structural Neural Encoders for AMR-to-text Generation
Structural Neural Encoders for AMR-to-text Generation
Marco Damonte
Shay B. Cohen
99
71
0
27 Mar 2019
Interpreting and Understanding Graph Convolutional Neural Network using
  Gradient-based Attribution Method
Interpreting and Understanding Graph Convolutional Neural Network using Gradient-based Attribution Method
Shangsheng Xie
Mingming Lu
FAttGNN
75
16
0
09 Mar 2019
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