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Learning Syntactic Dense Embedding with Correlation Graph for Automatic
  Readability Assessment

Learning Syntactic Dense Embedding with Correlation Graph for Automatic Readability Assessment

9 July 2021
Xinying Qiu
Yuan Chen
Hanwu Chen
J. Nie
Yuming Shen
D. Lu
ArXiv (abs)PDFHTML

Papers citing "Learning Syntactic Dense Embedding with Correlation Graph for Automatic Readability Assessment"

4 / 4 papers shown
Title
FPT: Feature Prompt Tuning for Few-shot Readability Assessment
FPT: Feature Prompt Tuning for Few-shot Readability Assessment
Ziyang Wang
Sanwoo Lee
Hsiu-Yuan Huang
Yunfang Wu
AAMLVLM
88
0
0
03 Apr 2024
Tapping the Potential of Coherence and Syntactic Features in Neural
  Models for Automatic Essay Scoring
Tapping the Potential of Coherence and Syntactic Features in Neural Models for Automatic Essay Scoring
Xinying Qiu
Shuxuan Liao
Jiajun Xie
J. Nie
50
2
0
24 Nov 2022
A Unified Neural Network Model for Readability Assessment with Feature
  Projection and Length-Balanced Loss
A Unified Neural Network Model for Readability Assessment with Feature Projection and Length-Balanced Loss
Wenbiao Li
Ziyang Wang
Hao Sun
86
13
0
19 Oct 2022
Text as Environment: A Deep Reinforcement Learning Text Readability
  Assessment Model
Text as Environment: A Deep Reinforcement Learning Text Readability Assessment Model
Hamid Reza Mohammadi
S. H. Khasteh
Tahereh Firoozi
Taha Samavati
98
20
0
12 Dec 2019
1