An Optimized LSTM-Based Augmented Language Model (FLSTM-ALM) Using Fox Algorithm for Automatic Essay Scoring Prediction
Author:
Affiliation:
1. Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Malaysia
Funder
Fakulti Teknologi dan Sains Maklumat, Universiti Kebangsaan Malaysia
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10478918.pdf?arnumber=10478918
Reference26 articles.
1. Automated essay scoring linguistic feature: Comparative study
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3. Question classification based on Bloom’s taxonomy cognitive domain using modified TF-IDF and word2vec
4. Evaluation of Gamification in E-Learning Systems for Elementary School Students
5. An Automated Essay Scoring model Based on Stacking Method
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
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