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Knowledge tagging for questions is vital in modern intelligent educational applications, including learning progress diagnosis, practice question recommendations, and course content organization.
Language models are few-shot learners
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EKT: Exercise-aware Knowledge Tracing for Student Performance Prediction
Liu, Q.; Huang, Z.; Yin, Y.; Chen, E.; Xiong, H.; Su, Y.; and Hu, G. 2019a · 1906
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Roberta: A robustly optimized bert pretraining approach
Liu, Y.; Ott, M.; Goyal, N.; Du, J.; Joshi, M.; Chen, D.; Levy, O.; Lewis, M.; Zettlemoyer, L.; and Stoyanov, V. 2019b · 1907
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Sentence-bert: Sentence embeddings using siamese bert-networks
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A tag based learning approach to knowledge acquisition for constructing prior knowledge and enhancing student reading comprehension
Chen, J.-M.; Chen, M.-C.; and Sun, Y. S. 2014 · 2014
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Bert: Pre-training of deep bidirectional transformers for language understanding
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Automatic question tagging with deep neural networks
Sun, B.; Zhu, Y.; Xiao, Y.; Xiao, R.; and Wei, Y. 2018 · 2018
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QuesNet: A Unified Representation for Heterogeneous Test Questions
Yin, Y.; Liu, Q.; Huang, Z.; Chen, E.; Tong, W.; Wang, S.; and Su, Y. 2019 · 2019
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Exploring the limits of transfer learning with a unified text-to-text transformer
Raffel, C.; Shazeer, N.; Roberts, A.; Lee, K.; Narang, S.; Matena, M.; Zhou, Y.; Li, W.; and Liu, P. J. 2020 · 2020
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Neural cognitive diagnosis for intelligent education systems
Wang, F.; Liu, Q.; Chen, E.; Huang, Z.; Chen, Y.; Yin, Y.; Huang, Z.; and Wang, S. 2020 · 2020
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Context-aware knowledge tracing integrated with the exercise representation and association in mathematics
Huang, T.; Liang, M.; Yang, H.; Li, Z.; Yu, T.; and Hu, S. 2021 · 2021
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DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections
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A survey on in-context learning
Dong, Q.; Li, L.; Dai, D.; Zheng, C.; Wu, Z.; Chang, B.; Sun, X.; Xu, J.; and Sui, Z. 2022 · 2022
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Chain-of-thought prompting elicits reasoning in large language models
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PQSCT: Pseudo-Siamese BERT for Concept Tagging With Both Questions and Solutions
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Evaluating language models for mathematics through interactions
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Knowledge Tagging System on Math Questions via LLMs with Flexible Demonstration Retriever
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Li, H.; Xu, T.; Zhang, C.; Chen, E.; Liang, J.; Fan, X.; Li, H.; Tang, J.; and Wen, Q. 2024b
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