參考文獻 |
List of References
[1] H.-K. Wu, Y.-Y. Ou, W.-K. Wang and C.-Y. Chao, "Hybrid ChatBot: E-Learning Assistant and Personal Companion in K12 Academy," IEEE Transactions on Learning Technologies (Submitted), 2018.
[2] "The Summit Learning Platform," Summit Public Schools, [Online]. Available: https://www.summitlearning.org/program/online-platform#.
[3] K. Blanka and M. Petra, "Cloud Computing and E-Learning and Their Benefits for the Institutions of Higher Learning," IEEE Conference on e-Learning, e-Management and e-Services, 2016.
[4] H. Garci?a-Gonza?lez, J. E. L. Gayo and M. Paule-Ruiz, "Enhancing e-Learning Content by Using Semantic Web Technologies," IEEE Transactions on Learning Technologies, vol. 10, no. 4, Oct.-Dec. 2017.
[5] P. J. Munoz-Merino, C. D. Kloos and M. M.-. Organero, "Enhancement of Student Learning Through the Use of a Hinting Computer e-Learning System and Comparison With Human Teachers," IEEE Transactions on Education, vol. 54, no. 1, Feb. 2011.
[6] Docebo, "Docebo-eLearning-Trends-for-2018 Whitepaper," [Online]. Available: https://www.docebo.com/resource/whitepaper-elearning-trends-2018/.
[7] M. S. Ron Austin, P. Moore and D. Newell, "Situated Computing and Virtual Learning Environments: e-Learning and the Benefits to the Students Learning," Seventh International Conference on Complex, Intelligent, and Software Intensive Systems, 2013.
[8] M. Nadrljanski and D. N. ?. Vukic?, "Multi-agent systems in e- learning," 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2018.
[9] A. Bernik, G. Bubas? and D. Rados?evic?, "Measurement of the effects of e-learning courses gamification on motivation and satisfaction of students," 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2018.
[10] M. Montebello, "E-learning paradigms: A model to address known issues," Computing Conference, 2017.
[11] H. Al-Samarraie, H. Selim, T. Teo and F. Zaqout, "Isolation and distinctiveness in the design of e-learning systems influence user preferences, Interactive Learning Environments," Interactive Learning Environments, vol. 25, no. 4, pp. 452-466, 2017.
[12] DeepMind, "AlphaGo," [Online]. Available: https://deepmind.com/research/alphago/.
[13] B. d. Boulay, "Artificial Intelligence as an Effective Classroom Assistant," IEEE Intelligent Systems, vol. 31, no. 6, Nov.-Dec. 2016.
[14] C. Ramos, J. C. Augusto and D. Shapiro, "Ambient Intelligence—the Next Step for Artificial Intelligence," IEEE Intelligent Systems, vol. 23, no. 2, Mar.-Apr. 2008.
[15] Google, "Google assistant," [Online]. Available: https://assistant.google.com/.
[16] Google, "Google I/O," [Online]. Available: https://events.google.com/io/.
[17] Google, "Google AI Blog: Google Duplex," [Online]. Available: https://ai.googleblog.com/2018/05/duplex-ai-system-for-natural-conversation.html.
[18] H.-Y. Shum, X. He and D. Li, "From Eliza to XiaoIce: Challenges and Opportunities with Social Chatbots," arXiv:1801.01957[cs.AI], 6 Jan 2018.
[19] Apple, "Siri," [Online]. Available: https://www.apple.com/ios/siri/.
[20] Amazon, "Alexa," [Online]. Available: https://developer.amazon.com/alexa.
[21] Microsoft, "XiaoIce," [Online]. Available: http://www.msxiaoice.com/.
[22] Microsoft, "Cortana," [Online]. Available: https://www.microsoft.com/en-us/cortana.
[23] Forbes, "Forbes Asia BOT," [Online]. Available: https://www.messenger.com/t/forbesasia.
[24] "TaxiGo BOT," [Online]. Available: https://www.messenger.com/t/taxigo.tw.
[25] "Kamigo BOT," [Online]. Available: https://www.kamigo.tw/.
[26] Facebook, "Messenger," [Online]. Available: https://messenger.fb.com/.
[27] Telegram, "Telegram BOT Platform," [Online]. Available: https://telegram.org/blog/bot-revolution.
[28] Line, "Line," [Online]. Available: https://line.me/en/.
[29] Microsoft, "Microsoft Bot Framework," [Online]. Available: https://dev.botframework.com/.
[30] Chatfuel, "Chatfuel BOT Framework," [Online]. Available: https://dev.botframework.com/.
[31] Got It Study, "Got It Study," [Online]. Available: http://expert.gotitapp.co/.
[32] "Deakin Genie," [Online]. Available: https://www.youtube.com/watch?v=zsRPuU53E74.
[33] "Jill Watson," [Online]. Available: https://pe.gatech.edu/blog/meet-jill-watson- georgia-techs-first-ai-teaching-assistant.
[34] IBM, "IBM Watson," [Online]. Available: https://www.ibm.com/watson/.
[35] H. Fang, H. Cheng, M. Sap, E. Clark, A. Holtzman, Y. Choi, N. A. Smith and M. Ostendorf, "Sounding Board: A User- Centric and Content-Driven Social Chatbot," arXiv:1804.10202v1 [cs.HC], 26 Apr. 2018.
[36] A. W. Yu, D. Dohan, M.-T. Luong, R. Zhao, K. Chen, M. Norouzi and Q. V. Le, "QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension," arXiv:1804.09541v1 [cs.CL], 23 Apr. 2018.
[37] B. Mourad, A. Tarik, A. Karim and E. Pascal, "System Interactive Cyber Presence for E- Learning to Break Down Learner Isolation," International Journal of Computer Applications(0975-8887), vol. 111, no. 16, Feb. 2015.
[38] S.-s. Huang, A Flexible and Lightweight User-demand DRM System for Multimedia Contents over Multuple Portable Device Platforms, 2014.
[39] H.-P. Huang, TW K-12 Academy: A Finger-driven Interact Learning System with Smart-pen Assistance on iOS Devices, 2016.
[40] W.-T. Chen, Toward Smart Self-Driven Learning Environment: integrating DRM System in K12 Academy, 2017.
[41] G. An, M. Shafiee and D. Shamsi, "Improving Retrieval Modeling Using Cross Convolution Networks And Multi Frequency Word Embedding," arXiv:1802.05373v2 [cs.CL], 16 Feb. 2018.
[42] Z. Yu, A. Papangelis and A. Rudnicky, "TickTock: A non-goal-oriented multimodal dialog system with engagement awareness.," In Proceedings of the AAAI Spring Symposium, 2015.
[43] Pizza Hut, "Pizza Hut Messenger BOT," [Online]. Available: https://www.messenger.com/t/PizzaHutPak.
[44] CNN, "CNN News messenger BOT," [Online]. Available: https://www.facebook.com/messages/t/cnn.
[45] A. Kannan, K. Kurach, S. Ravi, T. Kaufmann, A. Tomkins, B. Miklos, G. Corrado, L. Lukacs, M. Ganea, P. Young and V. Ramavajjala, "Smart Reply: Automated Response Suggestion for Email".arXiv:1606.04870v1 [cs.CL].
[46] M. d. G. B. Marietto, R. V. d. Aguiar, G. d. O. Barbosa, W. T. Botelho, E. Pimentel, R. d. S. Franc?a and V. L. d. Silva, "Artificial Intelligence MArkup Language: A Brief Tutorial".arXiv:1307.3091v1 [cs.AI].
[47] I. Sutskever, O. Vinyals and Q. V. Le, "Sequence to sequence learning with neural networks.," Advances in neural information processing systems., p. 3104–3112, 2014.
[48] T. Hu, A. Xu, Z. Liu, Q. You, Y. Guo, V. Sinha, J. Luo and R. Akkiraju, "Touch Your Heart: A Tone-aware Chatbot for Customer Care on Social Media".arXiv:1803.02952v2 [cs.HC].
[49] "SQuAD," [Online]. Available: https://rajpurkar.github.io/SQuAD-explorer/.
[50] P. Rajpurkar, J. Zhang, K. Lopyrev and P. Liang, "SQuAD: 100,000+ Questions for Machine Comprehension of Text," arXiv:1606.05250v3 [cs.CL], 11 Oct. 2016.
[51] J. C. Vaz and P. Oh, "Transformer-DARwIn: A miniature humanoid for potential robot companion," IEEE International Conference on Consumer Electronics (ICCE), 2018.
[52] J. Pennington, R. Socher and C. D. Manning, "GloVe: Global Vectors for Word Representation.," 2014.
[53] fxsjy, "Github: fxsjy / jieba," [Online]. Available: https://github.com/fxsjy/jieba.
[54] M. R. A. Natural Language Computing Group, "R-NET: MACHINE READING COMPREHENSION WITH SELF-MATCHING NETWORKS," [Online]. Available: https://www.microsoft.com/en-us/research/wp-content/uploads/2017/05/r-net.pdf.
[55] Y. r. NLP, MARS (ensemble): Multi-Attention ReaderS.
[56] M. Hu, Y. Peng, Z. Huang, X. Qiu, F. Wei and M. Zhou, "Reinforced Mnemonic Reader for Machine Reading Comprehension," arXiv:1705.02798v5 [cs.CL], 29 Apr. 2018.
[57] X. Liu, Y. e. Shen, K. Duh and J. Gao, "StochasticAnswer Networks for Machine Reading Comprehension," arXiv:1712.03556v2 [cs.CL], 15 May 2018.
[58] H.-Y. Huang, C. Zhu, Y. Shen and W. Chen, "FusionNet: Fusing via Fully-Aware Attention with Application to Machine Comprehension," arXiv:1711.07341v2 [cs.CL], 4 Feb. 2018.
[59] S. Salant and J. Berant, "Contextualized Word Representations for Reading Comprehension," arXiv:1712.03609v2 [cs.CL], 10 Mar. 2018.
[60] M. Seo, A. Kembhavi, A. Farhadi and H. Hajishirzi, "Bidirectional Attention Flow for Machine Comprehension," arXiv:1611.01603v5 [cs.CL], 24 Feb. 2017.
[61] D. Chen, A. Fisch, J. Weston and A. Bordes, "Reading Wikipedia to Answer Open-Domain Questions," arXiv:1704.00051v2 [cs.CL], 28 Apr. 2017.
[62] R. Liu, J. Hu, W. Wei, Z. Yang and E. Nyberg, "Structural Embedding of Syntactic Trees for Machine Comprehension," arXiv:1703.00572v3 [cs.CL], 31 Aug. 2017.
[63] D. Weissenborn, G. Wiese and L. Seiffe, "Making Neural QA as Simple as Possible but not Simpler," arXiv:1703.04816v3 [cs.CL], 8 Jan. 2017.
[64] M. Seo, A. Kembhavi, A. Farhadi and H. Hajishirzi, "Bidirectional Attention Flow for Machine Comprehension," arXiv:1611.01603v5 [cs.CL], 24 Feb. 2017.
[65] S. Wang and J. Jiang, "Machine Comprehension Using Match- LSTM and Answer Pointer," arXiv:1608.07905v2 [cs.CL], 7 Nov. 2016. |