| 參考文獻: | AbuShawar, B., & Atwell, E. (2015). ALICE chatbot: Trials and outputs. Computación y Sistemas, 19(4), 625-632
Adiwardana, D., & Luong, T. (2020). Towards a Conversational Agent that Can Chat About… Anything. Google AI Blog.
Bogatu, A., Rotarescu, D., Rebedea, T., & Ruseti, S. (2015). Conversational Agent that Models a Historical Personality. In RoCHI (pp. 81-86).
Cho, K., Van Merriënboer, B., Gulcehre, C., Bahdanau, D., Bougares, F., Schwenk, H., & Bengio, Y. (2014). Learning phrase representations using RNN encoder-decoder for statistical machine translation. arXiv preprint arXiv:1406.1078..
Chen, T., & Guestrin, C. (2016, August). Xgboost: A scalable tree boosting system. In Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining (pp. 785-794).
Furnham, A. (1996). The big five versus the big four: the relationship between the Myers-Briggs Type Indicator (MBTI) and NEO-PI five factor model of personality. Personality and individual differences, 21(2), 303-307.
Gjurković, M., & Šnajder, J. (2018, June). Reddit: A gold mine for personality prediction. In Proceedings of the Second Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media (pp. 87-97).
Gaikwad, S. (2019). Chatbots with Personality Using Deep Learning
Gao, X., Zhang, Y., Galley, M., Brockett, C., & Dolan, B. (2020). Dialogue response ranking training with large-scale human feedback data. arXiv preprint arXiv:2009.06978.
Keskar, N. S., McCann, B., Varshney, L. R., Xiong, C., & Socher, R. (2019). Ctrl: A conditional transformer language model for controllable generation. arXiv preprint arXiv:1909.05858.
Louridas, A., Halstead, A., & Beddoes-Jones, F. (2002). An evaluation of the thinking preferences of engineers to assist in their personal and professional development. Greece 4th International Conference on Education, Athens
Luyckx, K., & Daelemans, W. (2008, August). Authorship attribution and verification with many authors and limited data. In Proceedings of the 22nd International Conference on Computational Linguistics (Coling 2008) (pp. 513-520).
Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., & Sutskever, I. (2019). Language models are unsupervised multitask learners. OpenAI blog, 1(8), 9.
Wright, D. (2014). Stylistics versus Statistics: A corpus linguistic approach to combining techniques in forensic authorship analysis using Enron emails (Doctoral dissertation, University of Leeds)
Weizenbaum, J. (1966). ELIZA—a computer program for the study of natural language communication between man and machine. Communications of the ACM, 9(1), 36-45
Wallace, R. S. (2009). The anatomy of ALICE. In Parsing the turing test (pp.181-210). Springer, Dordrecht.
Zumstein, D., & Hundertmark, S. (2017). CHATBOTS--AN INTERACTIVE TECHNOLOGY FOR PERSONALIZED COMMUNICATION, TRANSACTIONS AND SERVICES. IADIS International Journal on WWW/Internet, 15(1)
Zhou, L., Gao, J., Li, D., & Shum, H. Y. (2020). The design and implementation of xiaoice, an empathetic social chatbot. Computational Linguistics, 46(1), 53-93.
Zhang, Y., Sun, S., Galley, M., Chen, Y. C., Brockett, C., Gao, X., ... & Dolan, B.(2019). Dialogpt: Large-scale generative pre-training for conversational response generation. arXiv preprint arXiv:1911.00536. |
