Comparing the Utility of State Features in Spoken Dialogue Using Reinforcement Learning

Joel R. Tetreault, Diane J. Litman. Comparing the Utility of State Features in Spoken Dialogue Using Reinforcement Learning. In Robert C. Moore, Jeff A. Bilmes, Jennifer Chu-Carroll, Mark Sanderson, editors, Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, June 4-9, 2006, New York, New York, USA. The Association for Computational Linguistics, 2006. [doi]

@inproceedings{TetreaultL06:0,
  title = {Comparing the Utility of State Features in Spoken Dialogue Using Reinforcement Learning},
  author = {Joel R. Tetreault and Diane J. Litman},
  year = {2006},
  url = {http://acl.ldc.upenn.edu/N/N06/N06-1035.pdf},
  researchr = {https://researchr.org/publication/TetreaultL06%3A0},
  cites = {0},
  citedby = {0},
  booktitle = {Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, June 4-9, 2006, New York, New York, USA},
  editor = {Robert C. Moore and Jeff A. Bilmes and Jennifer Chu-Carroll and Mark Sanderson},
  publisher = {The Association for Computational Linguistics},
}