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NTIS 바로가기Journal of the convergence on culture technology : JCCT = 문화기술의 융합, v.7 no.2, 2021년, pp.427 - 436
전현구 (숭실대학교 글로벌미디어학부) , 정기철 (숭실대학교 글로벌미디어학부) , 권경아 (숭실대학교 글로벌미디어학부) , 이인성 (숭실대학교 영어영문학과)
The purpose of this study is to implement a machine learning language model that learns literary texts. Literary texts have an important characteristic that pairs of question-and-answer are not frequently clearly distinguished. Also, literary texts consist of pronouns, figurative expressions, solilo...
Sutskever, I., Vinyals, O., & Le, Q. V. (2014). Sequence to sequence learning with neural networks. arXiv preprint arXiv: 1409.3215.
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., ... & Polosukhin, I. (2017). Attention is all you need. arXiv preprint arXiv: 1706.03762.
Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., & Sutskever, I. (2019). Language models are unsupervised multitask learners. OpenAI blog, 1(8), 9.
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S. Kim. (2019). In the Age of Artificial Intelligence, Is Human Writing still Possible? - Critical Prediction of Changes in Writing(text). The Korean Journal of Literacy Research, 10(3), 283-315. doi: 10.37736/kjlr.2019.06.10.3.283
D. Han, H. Choi, J. Kim, I. Doo, S. Kim (2012). Media and Culture Technology, Humanities Contents. Humanities Contents, (27), 53-59.
H. Chae. (2013). A Study on Humanities and Engineering based on Human-centered Design: Providing Human Interface for Media Contents in User Equipment. Lingua Humanitatis, 15(1), 153-167.
N. Oh, B. Rhee. (2019). A Study on the Expression of Poetry Converged with Augumented Reality(AR). The Korean Society of Science & Art, 37(4), 191-204. doi: 10.17548/ksaf.2019.09.30.191
W. Kang, B. Kim. (2020). A Study on the Types of Classic Fiction Using Deep Learning Techniques - Focusing on Hero Novels and Romantic Novels -. Korean Language and Literature in International Context, 84, 9-35. doi: http://dx.doi.org/10.31147/IALL.84.1
H. Park. (2020). A Study on the of Historical Character Design by Non-verbal Communication Theory. The Treatise on The Plastic Media, 23(1),177-184. doi: https://doi.org/10.35280/KOTPM.2020.23.1.19
S. Ha. (2017). "Dialogue response generation using RNN-based sequence-to-sequence learning (Doctoral dissertation, Graduate School of Seoul National University).
Coulombe, C. (2018). Text data augmentation made simple by leveraging nlp cloud apis. arXiv preprint arXiv: 1812.04718.
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