[ Pobierz całość w formacie PDF ]

Japan (2010)
50. Jefferson, G.: Preliminary notes on a possible metric which provides for a  standard
maximum silence of approximately one second in conversation. In: D. Roger, P. Bull (eds.)
Conversation: An Interdisciplinary Perspective. Multilingual Matters, Clevedon, UK (2007)
51. Johnston, A.: SIP: Understanding the Session Initiation Protocol. Artech House, Norwood,
USA (2004)
52. Jokinen, K., McTear, M.: Spoken Dialogue Systems. Morgan & Claypool, San Rafael, USA
(2010)
53. Jonsdottir, G., Gratch, J., Fast, E., Thórisson, K.: Fluid Semantic Back-Channel Feedback in
Dialogue: Challenges and Progress. In: Proc. of the IVA. Paris, France (2007)
54. Juang, B., Furui, S.: Automatic Recognition and Understanding of Spoken Language A First
Step toward Natural Human-Machine Communication. Proc. of the IEEE 88(8) (2000)
55. Jur%0Å„í%0Å„ek, F., Thomson, B., Keizer, S., Mairesse, F., Gaaić, M., Yu, K., Young, S.: Natural
Belief-Critic: A Reinforcement Algorithm for Parameter Estimation in Statistical Spoken
Dialogue Systems. In: Proc. of the Interspeech. Makuhari, Japan (2010)
56. Kaelbling, L., Littman, M., Moore, A.: Reinforcement Learning: A Survey. Journal of
Artificial Intelligence Research 4 (1996)
57. King, S., Karaiskos, V.: The Blizzard Challenge 2010. In: Blizzard Challenge Workshop.
Kansai Science City, Japan (2010)
58. Kuhn, R., de Mori, R.: The Application of Semantic Classification Trees to Natural Language
Understanding. IEEE Trans. on Pattern Analysis and Machine Intelligence 17(5) (1995)
59. Langkilde, I., Walker, M., Wright, J., Gorin, A., Litman, D.: Automatic Prediction of
Problematic Human-Computer Dialogues in How May I Help You? In: Proc. of the ASRU.
Keystone, USA (1999)
60. Langner, B., Vogel, S., Black, A.: Evaluating a Dialog Language Generation System:
Comparing the MOUNTAIN System to Other NLG Approaches. In: Proc. of the Interspeech.
Makuhari, Japan (2010)
61. Larson, J.: Introduction and Overview of W3C Speech Interface Framework. W3C Working
Draft. http://www.w3.org/TR/voice-intro (2000)
62. Lefêvre, F., Mairesse, F., Young, S.: Cross-Lingual Spoken Language Understanding from
Unaligned Data Using Discriminative Classification Models and Machine Translation. In:
Proc. of the Interspeech. Makuhari, Japan (2010)
63. Lésperance, Y., Levesque, H., Lin, F., Marcu, D., Reiter, R., Scherl, R.: Foundations of a
Logical Approach to Agent Programming. In: Proc. of the IJCAI. Montréal, Canada (1995)
64. Levenshtein, V.: Binary Codes Capable of Correcting Deletions, Insertions, and Reversals.
Soviet Physics Doklady 10 (1966)
65. Levin, E., Narayanan, S., Pieraccini, R., Biatov, K., Bocchieri, E., di Fabbrizio, G., Eckert,
W., Lee, S., Pokrovsky, A., Rahim, M., Ruscitti, P., Walker, M.: The AT&T-DARPA
Communicator Mixed-Initiative Spoken Dialog System. In: Proc. of the ICSLP. Beijing,
China (2000)
66 References
66. Levin, E., Pieraccini, R.: A Stochastic Model of Computer-Human Interaction for Learning
Dialogue Strategies. In: Proc. of the Eurospeech. Rhodes, Greece (1997)
67. Levin, E., Pieraccini, R.: Value-Based Optimal Decision for Dialog Systems. In: Proc. of the
SLT. Palm Beach, Aruba (2006)
68. Lippi, M., Jaeger, M., Frasconi, P., Passerini, A.: Relational Information Gain. In: Proc. of the
ILP. Leuven, Belgium (2009)
69. López-Cózar, R., Griol, D.: New Technique to Enhance the Performance of Spoken Dialogue
Systems Based on Dialogue States-Dependent Language Models and Grammatical Rules. In:
Proc. of the Interspeech. Makuhari, Japan (2010)
70. Marge, M., Banerjee, S., Rudnicky, A.: Using the Amazon Mechanical Turk for Transcription
of Spoken Language. In: Proc. of the ICASSP. Dallas, USA (2010)
71. McCallum, A., Nigam, K.: A Comparison of Event Models for Naive Bayes Text Classifica-
tion. In: Proc. of the AAAI Workshop on Learning for Text Categorization. Madison, USA
(1998)
72. McGlashan, S., Burnett, D., Carter, J., Danielsen, P., Ferrans, J., Hunt, A., Lucas, B., Porter,
B., Rehor, K., Tryphonas, S.: VoiceXML 2.0. W3C Recommendation. http://www.w3.org/
TR/2004/REC-voicexml20-20040316 (2004)
73. McInnes, F., Nairn, I., Attwater, D., Jack, M.: Effects of Prompt Style on User Responses to
an Automated Banking Service Using Word-Spotting. BT Technology 17(1) (1999)
74. McTear, M.: Spoken Dialogue Technology. Springer, New York, USA (2004)
75. McTear, M.: Spoken Language Understanding for Conversational Dialog Systems. In: Proc.
of the SLT. Palm Beach, Aruba (2006)
76. Melin, H., Sandell, A., Ihse, M.: CTT-Bank: A Speech Controlled Telephone Banking
System  An Initial Evaluation. Tech. rep., KTH, Stockholm, Sweden (2001)
77. Messerli, E.: Proof of a Convexity Property of the Erlang B Formula. Bell System Technical
Journal 51(4) (1972) [ Pobierz całość w formacie PDF ]

  • zanotowane.pl
  • doc.pisz.pl
  • pdf.pisz.pl
  • janekx82.keep.pl