Backoff Model Training Using Partially Observed Data: Application to Dialog Act Tagging

TitleBackoff Model Training Using Partially Observed Data: Application to Dialog Act Tagging
Publication TypeConference Paper
Year of Publication2006
AuthorsJi, G., & Bilmes J. A.
Published inProceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL 2006)
Page(s)280-287
Other Numbers3010
Acknowledgment

This work was partially supported by funding provided to ICSI through National Science Foundation grant IIS: 0121396 (“Mapping Meetings: Language Technology to Make Sense of Human Interaction”). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors or originators and do not necessarily reflect the views of the National Science Foundation.

URLhttp://www.icsi.berkeley.edu/pubs/speech/backoffmodel06.pdf
Bibliographic Notes

Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL 2006), New York City, New York, pp. 280-287

Abbreviated Authors

G. Ji and J. Bilmes

ICSI Research Group

Speech

ICSI Publication Type

Article in conference proceedings