| Reference: | [1] 徐文鈺，〈影響大學生課堂主動發言的因素〉，當代教育研究季刊，第 21 卷，第 4 期，頁 41-80，2013 年 12 月。
[2] Almeida, F. and Xexéo G., “Word Embeddings: A Survey,” Master`s thesis, Federal University of Rio de Janeiro, Computer and Systems Engineering Program, 2019.
[3] Atwood J., and Spolsky J., “Stack Overflow,” Internet: https://stackoverflow.com /, accessed July 23, 2023.
[4] Baroni, M., Dinu, G., and Kruszewski, G., “Don’t count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors,” Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, Baltimore, Maryland, 2014. doi:10.3115/v1/p14-1023.
[5] Brown, T. B. et al., “Language models are few-shot learners,” Advances in Neural Information Processing Systems, Vancouver, Canada, 2020, pp. 1877-1901.
[6] Church, K. and Hanks, P., “Word Association Norms, Mutual Information, and Lexicography,” Proceedings of lhe 27th Annual Meeting of the Association for Computational Linguistics, Vancouver, Canada, 1990, pp. 76-83.
[7] Cho, K. et al., “Learning phrase representations using RNN encoder–decoder for statistical machine translation,” Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, Doha, Qatar, 2014, pp. 1724-1734. doi:10.3115/v1/d14-1179.
[8] Colby, K., Artificial Paranoia: A Computer Simulation of Paranoid Process, New York: Pergamon Press, 1975.
[9] Devlin, J., Chang, M.-W., Lee, K. and Toutanova, K., “BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding”, Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Minneapolis, Minnesota, 2019, pp. 4171-4186. doi: 10.18653/V1/N19-1423.
[10] Fielding, R., “Architectural Styles and the Design of Network-based Software Architectures,” Doctoral Dissertation, University of California, Irvine, 2000.
[11] fxsjy, “Jieba,” Internet: https://github.com/fxsjy/jieba, accessed July 24, 2023.
[12] Goel, A. K., and Polepeddi, L., “Jill Watson: A Virtual Teaching Assistant for Online Education,” Learning Engineering for Online Education, 1st. New York:Routledge, 2016. doi: 10.4324/9781351186193-7.
[13] Goldberg, Y. and Graeme, H., “Neural Network Methods for Natural Language Processing,” Toronto, Ontario: Morgan & Claypool Publishers, ISBN: 978-3-031-02165-7, 2017.
[14] Hsu, H.-H., and Huang, N.-F., “Xiao-Shih: A self-enriched question answering bot with machine learning on Chinese-based moocs,” IEEE Transactions on Learning Technologies, vol. 15, no. 2, pp. 223-237, Mar. 2022. doi:10.1109/tlt.2022.3162572.
[15] Hussain, S., Sianaki, O. A., and Ababneh, N., “A survey on conversational agents/Chatbots classification and Design Techniques,” Advances in Intelligent Systems and Computing, vol. 927. Switzerland:Springer, 2019, pp. 946-956. doi:10.1007/978-3-030-15035-8_93.
[16] Jones, K., “Astatistical interpretation of term specificity and its application in retrieval,” Journal of Documentation, Vol. 28 No. 1, pp. 11-21, 1972.
[17] Li, F.-F., Fergus, R. and Perona, P., “One-shot learning of object categories,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 4, Piscataway:IEEE Computer Society, Apr. 2006. doi: 10.1109/TPAMI.2006.79.
[18] LINE, “LINE Developers” Internet: https://developers.line.biz/ , accessed May 9, 2023.
[19] Manning, C., Raghavan, P. and Schütze, H., Introduction to Information Retrieval. Cambridge, U.K.: Cambridge Univ. Press, 2008.
[20] Mikolov, T., Chen, K., Corrado, G. S. and Dean, J., “Efficient Estimation of Word Representations in Vector Space,” International Conference on Learning Representations, Scottsdale, Arizona, 2013.
[21] Mikolov, T. et al., “Distributed Representations of Words and Phrases and their Compositionality,” Advances in Neural Information Processing Systems, Stateline, America, 2013, pp. 3111-3119.
[22] Nss, “An intuitive understanding of word embeddings: From count vectors to word2vec,” Internet: https://www.analyticsvidhya.com/blog/2017/06/word-embeddings-count-word2veec/, accessed May 9, 2023.
[23] OpenAI, “Models,” Internet: https://platform.openai.com/docs/models/overview, accessed May 9, 2023.
[24] Palatucci, M., Pomerleau, D. A., Hinton, G. E. and Mitchell, T. M., “Zero-shot learning with semantic output codes,” Advances in Neural Information Processing Systems, Vancouver, Canada, 2009, pp. 1410-1418.
[25] Radford, A., Sutskever, I., Salimans, T., and Narasimhan, K., “Improving language understanding by generative pre-training,” 2018.
[26] Radford, A., Wu, J., Child, R., Luan, D., Amodei, D. and Sutskever, I., “Language models are unsupervised multitask learners,” 2019.
[27] Raffel, C. et al, “Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer”, The Journal of Machine Learning Research, vol. 21, no. 140, pp. 5485-5551, May 2020.
[28] Robertson, S. and Zaragoza, H., “The probabilistic relevance framework: BM25 and beyond,” Foundations Trends Inf. Retrieval, vol. 3, no. 4, pp. 333–389, Dec. 2009, doi: 10.1561/1500000019.
[29] Ulstad, S. O., Halvari, H., Sørebø, Ø., and Deci, E. L., “Motivational predictors of learning strategies, participation, exertion, and performance in Physical Education: A randomized controlled trial,” Motivation and Emotion, vol. 42, no. 4, pp. 497-512, 2018. doi:10.1007/s11031-018-9694-2.
[30] Vaswani, A. et al., “Attention is all you need,” Advances in Neural Information Processing Systems, Long Beach, California, 2017, pp. 6000-6010.
[31] Wales, J. and Sanger, L., “Wikipedia” Internet: https://www.wikipedia.org/ , accessed May 9, 2023.
[32] Wallace, R., “A.L.I.C.E - Artificial Intelligence Foundation,” Internet: http://www.alicebot.org, accessed June 1, 2023.
[33] Weizenbaum, J., “ELIZA--A Computer Program For the Study of Natural Language Communication Between Man and Machine,” Communications of the ACM, vol. 9, no. 1, pp. 36–45, 1966. doi:10.1145/365153.365168 |
