The day after the day after tomorrow?: a machine learning approach to adaptive temporal expression generation: training and evaluation with real users

Srinivasan Chandrasekaran Janarthanam; H. Hastie; O. Lemon; X. Liu

The day after the day after tomorrow?: a machine learning approach to adaptive temporal expression generation: training and evaluation with real users

Srinivasan Chandrasekaran Janarthanam, H. Hastie, O. Lemon, X. Liu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings of the SIGDIAL 2011 Conference
Publisher	Association for Computational Linguistics
Pages	142-151
Number of pages	10
ISBN (Print)	978-1-937284-10-7
Publication status	Published - 2011

Cite this

@inproceedings{483629ffdb61403b9a93ffa22b132b8e,

title = "The day after the day after tomorrow?: a machine learning approach to adaptive temporal expression generation: training and evaluation with real users",

author = "\{Chandrasekaran Janarthanam\}, Srinivasan and H. Hastie and O. Lemon and X. Liu",

year = "2011",

language = "English",

isbn = "978-1-937284-10-7",

pages = "142--151",

booktitle = "Proceedings of the SIGDIAL 2011 Conference",

publisher = "Association for Computational Linguistics",

}

The day after the day after tomorrow?: a machine learning approach to adaptive temporal expression generation: training and evaluation with real users. / Chandrasekaran Janarthanam, Srinivasan; Hastie, H.; Lemon, O. et al.
Proceedings of the SIGDIAL 2011 Conference. Association for Computational Linguistics, 2011. p. 142-151.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - The day after the day after tomorrow?: a machine learning approach to adaptive temporal expression generation: training and evaluation with real users

AU - Chandrasekaran Janarthanam, Srinivasan

AU - Hastie, H.

AU - Lemon, O.

AU - Liu, X.

PY - 2011

Y1 - 2011

UR - https://www.scopus.com/pages/publications/84863261051

M3 - Conference contribution

SN - 978-1-937284-10-7

SP - 142

EP - 151

BT - Proceedings of the SIGDIAL 2011 Conference

PB - Association for Computational Linguistics

ER -

The day after the day after tomorrow?: a machine learning approach to adaptive temporal expression generation: training and evaluation with real users

Other files and links

Cite this