Publisher
Springer Nature Singapore
Reference16 articles.
1. Lee, H., Stolcke, A., Shriberg, E.: Using out-of-domain data for lexical addressee detection in human-human-computer dialog. Proceedings of the 9th Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 221–229 (2013)
2. Ravuri, S.V., Stolcke, A.: Neural network models for lexical addressee detection. Proceedings of the 15th Annual Conference of the International Speech Communication Association, pp. 741–745 (2014)
3. Huang. P.S., He, X., Gao, J., et al.: Learning deep structured semantic models for web search using clickthrough data. Proceedings of the 22nd ACM international conference on Information & Knowledge Management, pp. 2333–2338 (2013)
4. Schapire, R.E., Singer, Y.: BoosTexter: a boosting-based system for text categorization. Mach. Learn. 39(2), 135–168 (2000)
5. Favre, B., Hakkani-Tür, D., Cuendet, S.: Icsiboost: open-source implementation of Boostexter. (2007)