Quality assessment of cross-topic article features based on improved CTS model-Reference-Cited by-同舟云学术

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Quality assessment of cross-topic article features based on improved CTS model

Published:2022-11 Issue: Volume: Page:
ISSN:
Container-title:2022 6th International Symposium on Computer Science and Intelligent Control (ISCSIC)
language:
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Author:

Huang Pengcheng¹,Li Li¹,Wu Chunyan¹,Zhang Xiaoqian²,Liu Zhigui³

Affiliation:

1. Southwest University of Science and Technology,School of Computer Science and Technology,Mianyang,Sichuan

2. Southwest University of Science and Technology,School of Information Engineering,Mianyang,Sichuan

3. Southwest University of Science and Technology,School of Information Engineering,School of Computer Science and Technology,Mianyang,Sichuan

Funder

National Natural Science Foundation of China

Southwest University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10063336/10063352/10063710.pdf?arnumber=10063710

Reference27 articles.

1. TDNN: A Two-stage Deep Neural Network for Prompt-independent Automated Essay Scoring

2. Topic Mining and Ratings Prediction Joint Model Based on Lifelong Machine Learning [J];yi-ning;Computer Engineering,2019

3. Attention Is All You Need[C];vaswani;Arxiv ArXiv,2017

4. Automated Cross-prompt Scoring of Essay Traits

5. Multi-Stage Pre-training for Automated Chinese Essay Scoring

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