지능형 대화비서: GiGA Genie Assistant

  • 발행 : 2017.08.15

초록

키워드

참고문헌

  1. J. Weizenbaum, "ELIZA-a computer program for the study of natural language communication between man and machine", Communications of the ACM, vol. 9, pp 36-45, 1966. https://doi.org/10.1145/365153.365168
  2. Allen, J. F. and C. R. Perrault, Analyzing intention in utterances. Artificial lntelligence, vol. 15, No. 3, pp 143-178, 1980 https://doi.org/10.1016/0004-3702(80)90042-9
  3. J. Williams and S. Young, "Using Wizard-of-Oz Simulations to Bootstrap Reinforcement Learning-based Dialog Management Systems." 4th SIGdial Workshop on Discourse and Dialogue, Sapporo, Japan. 2003
  4. D. Cearly, "Top 10 Technology Trands Signal the Digital Mesh", Gartner Symposium ITxpo 2015, Orlando, Oct 10. 2015, http://www.gartner.com/smarterwithgartner/top-ten-technology-trends-signal-the-digital-mesh/
  5. Pieraccini, R., Huerta, J.M., "Where do we go from here?" Recent Trends in Discourse and Dialogue, Text, Speech and Language Technology, vol. 39. Springer, 2008
  6. D. Bobrow, et.al., "GUS, a frame-driven dialog system", Artificial Intelligence, Vol. 8, Issue 2, 1977
  7. C. Lee, et.al., "Example-based dialog modeling for practical multi-domain dialog system", Speech Communication, Vol. 51, Issue 5, 2009
  8. 성주원, 장두성, "다중 목적 영역별 부분관측 마르코프 의사결정을 활용한 통계적 대화 추론 정책", 한국정보과학회 학술발표논문집, vol. 36, No. 1, 2009.
  9. Y. Wu, et.al., "Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation", arXiv.org, 2016, https://arxiv.org/abs/1609.08144
  10. R. Lowe, et.al., "The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems", the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2015.
  11. J. Li, et.al., "Adversarial Learning for Neural Dialogue Generation", arXiv.org, 2017, https://arxiv.org/abs/1701.06547v4
  12. D. Lenat, et.al., Building Large Knowledge-Based Systems: Representation and Inference in the Cyc Project. Addison-Wesley, 1990
  13. Ellen M. Voorhees, "Overview of the TREC 2004 Question Answering Track", TREC Conference 2004, 2004