Using a maximum entropy-based tagger to improve a very fast vine parser
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Standard
Using a maximum entropy-based tagger to improve a very fast vine parser. / Søgaard, Anders Østerskov; Kuhn, Jonas.
Proceedings of the 11th International Conference on Parsing Technologies. Association for Computational Linguistics, 2009.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Harvard
Søgaard, AØ & Kuhn, J 2009, Using a maximum entropy-based tagger to improve a very fast vine parser. i Proceedings of the 11th International Conference on Parsing Technologies. Association for Computational Linguistics, The 11th International Conference on Parsing Technologies, Paris, Frankrig, 29/11/2010.
APA
Søgaard, A. Ø., & Kuhn, J. (2009). Using a maximum entropy-based tagger to improve a very fast vine parser. I Proceedings of the 11th International Conference on Parsing Technologies Association for Computational Linguistics.
Vancouver
Søgaard AØ, Kuhn J. Using a maximum entropy-based tagger to improve a very fast vine parser. I Proceedings of the 11th International Conference on Parsing Technologies. Association for Computational Linguistics. 2009
Author
Bibtex
@inproceedings{7f101210a1d111debc73000ea68e967b,
title = "Using a maximum entropy-based tagger to improve a very fast vine parser",
author = "S{\o}gaard, {Anders {\O}sterskov} and Jonas Kuhn",
year = "2009",
language = "English",
booktitle = "Proceedings of the 11th International Conference on Parsing Technologies",
publisher = "Association for Computational Linguistics",
note = "null ; Conference date: 29-11-2010",
}
RIS
TY - GEN
T1 - Using a maximum entropy-based tagger to improve a very fast vine parser
AU - Søgaard, Anders Østerskov
AU - Kuhn, Jonas
PY - 2009
Y1 - 2009
M3 - Article in proceedings
BT - Proceedings of the 11th International Conference on Parsing Technologies
PB - Association for Computational Linguistics
Y2 - 29 November 2010
ER -
ID: 14437617