Towards Interpreting Task-Oriented Utterance Sequences

1. Zukerman, I., Makalic, E., Niemann, M., George, S.: A probabilistic approach to the interpretation of spoken utterances. In: Ho, T.-B., Zhou, Z.-H. (eds.) PRICAI 2008. LNCS (LNAI), vol. 5351, pp. 581–592. Springer, Heidelberg (2008)

   Chapter  Google Scholar 

2. Zukerman, I., Makalic, E., Niemann, M.: Interpreting two-utterance requests in a spoken dialogue system. In: Proceedings of the 6th IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems, Pasadena, California, pp. 19–27 (2009)

   Google Scholar 

3. Charniak, E.: Maximum-entropy-inspired parser. In: The 2nd Meeting of the North American Chapter of the Association for Computational Linguistics, Seattle, USA, pp. 132–139 (2000)

   Google Scholar 

4. Sowa, J.: Conceptual Structures: Information Processing in Mind and Machine. Addison-Wesley, Reading (1984)

   MATH  Google Scholar 

5. Berger, A.L., Pietra, V.J.D., Pietra, S.A.D.: A maximum entropy approach to natural language processing. Computational Linguistics 22(1), 39–71 (1996)

   Google Scholar 

6. Leacock, C., Chodorow, M.: Combining local context and WordNet similarity for word sense identification. In: Fellbaum, C. (ed.) WordNet: An Electronic Lexical Database, pp. 265–285. MIT Press, Cambridge (1998)

   Google Scholar 

7. Lappin, S., Leass, H.: An algorithm for pronominal anaphora resolution. Computational Linguistics 20, 535–561 (1994)

   Google Scholar 

8. Ng, H., Zhou, Y., Dale, R., Gardiner, M.: A machine learning approach to identification and resolution of one-anaphora. In: IJCAI 2005 – Proceedings of the 19th International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, pp. 1105–1110 (2005)

   Google Scholar 

9. Ang, J., Dhillon, R., Krupski, A., Shriberg, E., Stolcke, A.: Prosody-based automatic detection of annoyance and frustration in human-computer dialog. In: ICSLP 2002 – Proceedings of the 7th International Conference on Spoken Language Processing, Denver, Colorado, pp. 2037–2040 (2002)

   Google Scholar 

10. Larsson, S., Traum, D.: Information state and dialogue management in the TRINDI dialogue move engine toolkit. Natural Language Engineering 6, 323–340 (2000)

    Article  Google Scholar 

11. Becker, T., Poller, P., Schehl, J., Blaylock, N., Gerstenberger, C., Kruijff-Korbayová, I.: The SAMMIE system: Multimodal in-car dialogue. In: Proceedings of the COLING/ACL 2006 Interactive Presentation Sessions, Sydney, Australia, pp. 57–60 (2006)

    Google Scholar 

12. He, Y., Young, S.: A data-driven spoken language understanding system. In: ASRU 2003 – Proceedings of the IEEE Workshop on Automatic Speech Recognition and Understanding, St. Thomas, US Virgin Islands, pp. 583–588 (2003)

    Google Scholar 

13. Gorniak, P., Roy, D.: Probabilistic grounding of situated speech using plan recognition and reference resolution. In: ICMI 2005 – Proceedings of the 7th International Conference on Multimodal Interfaces, Trento, Italy, pp. 138–143 (2005)

    Google Scholar 

14. Hong, J.H., Song, Y.S., Cho, S.B.: Mixed-initiative human-robot interaction using hierarchical Bayesian networks. IEEE Transactions on Systems, Man and Cybernetics, Part A 37(6), 1158–1164 (2007)

    Article  Google Scholar 

15. Knight, S., Gorrell, G., Rayner, M., Milward, D., Koeling, R., Lewin, I.: Comparing grammar-based and robust approaches to speech understanding: A case study. In: Proceedings of Eurospeech 2001, Aalborg, Denmark, pp. 1779–1782 (2001)

    Google Scholar 

16. Horvitz, E., Paek, T.: DeepListener: Harnessing expected utility to guide clarification dialog in spoken language systems. In: ICSLP 2000 – Proceedings of the 6th International Conference on Spoken Language Processing, Beijing, China, pp. 226–229 (2000)

    Google Scholar 

17. Bohus, D., Rudnicky, A.: Constructing accurate beliefs in spoken dialog systems. In: ASRU 2005 – Proceedings of the IEEE Workshop on Automatic Speech Recognition and Understanding, San Juan, Puerto Rico, pp. 272–277 (2005)

    Google Scholar 

Download references