CriTrainer: An Adaptive Training Tool for Critical Paper Reading

Author:

Yuan Kangyu1ORCID,Lin Hehai1ORCID,Cao Shilei1ORCID,Peng Zhenhui1ORCID,Guo Qingyu2ORCID,Ma Xiaojuan3ORCID

Affiliation:

1. School of Artificial Intelligence, Sun Yat-sen University, China

2. Hong Kong University of Science and Technology, China

3. Hong Kong University of Science and Technology, Hong Kong

Publisher

ACM

Reference96 articles.

1. Sigchi A.2023. Late breaking work - CHI 2021 . Retrieved in March 2023 from https://chi2023.acm.org/for-authors/late-breaking-work/. (2023). Sigchi A.2023. Late breaking work - CHI 2021. Retrieved in March 2023 from https://chi2023.acm.org/for-authors/late-breaking-work/. (2023).

2. Philip  C Abrami , Robert  M Bernard , Evgueni Borokhovski , Anne Wade , Michael  A Surkes , Rana Tamim , and Dai Zhang . 2008. Instructional interventions affecting critical thinking skills and dispositions: A stage 1 meta-analysis. Review of educational research 78, 4 ( 2008 ), 1102–1134. Philip C Abrami, Robert M Bernard, Evgueni Borokhovski, Anne Wade, Michael A Surkes, Rana Tamim, and Dai Zhang. 2008. Instructional interventions affecting critical thinking skills and dispositions: A stage 1 meta-analysis. Review of educational research 78, 4 (2008), 1102–1134.

3. Laith Abualigah , Mohammad Qassem Bashabsheh , Hamzeh Alabool , and Mohammad Shehab . 2020. Text summarization: a brief review. Recent Advances in NLP: the case of Arabic language ( 2020 ), 1–15. Laith Abualigah, Mohammad Qassem Bashabsheh, Hamzeh Alabool, and Mohammad Shehab. 2020. Text summarization: a brief review. Recent Advances in NLP: the case of Arabic language (2020), 1–15.

4. Mehdi Allahyari , Seyedamin Pouriyeh , Mehdi Assefi , Saeid Safaei , Elizabeth  D Trippe , Juan  B Gutierrez , and Krys Kochut . 2017. Text summarization techniques: a brief survey. arXiv preprint arXiv:1707.02268 ( 2017 ). Mehdi Allahyari, Seyedamin Pouriyeh, Mehdi Assefi, Saeid Safaei, Elizabeth D Trippe, Juan B Gutierrez, and Krys Kochut. 2017. Text summarization techniques: a brief survey. arXiv preprint arXiv:1707.02268 (2017).

5. Deep reinforcement and transfer learning for abstractive text summarization: A review

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