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A copy of AES-NPCR repository for my thesis

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Automated-Essay-Scoring-via-Pairwise-Contrastive-Regression

Created by Jiayi Xie*, Kaiwei Cai*, Li Kong, Junsheng Zhou, Weiguang Qu
This repository contains the ASAP dataset and Pytorch implementation for Automated Essay Scoring.(Coling 2022, Oral)

Dataset

ASAP

We use 5-corss-validation, and convert the dataset asap into 5 folds, as shown in the file path "./dataset/asap"

Code for AES-NPCR

Requirement

  • Pytorch 1.7.1
  • Python 3.7.9

Pretrain Model

BERT, Roberta, XLNet can be used, default BERT

Training

# train a model on NPCR
# the number 1 and 0 means the Prompt 1 and the fold 0, and so on
nohup ./main.sh 768 1 0 bert &> ./{logs_path}/prompt1_fold0.logs &

The code will be refactored.

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A copy of AES-NPCR repository for my thesis

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