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@inproceedings{1119969,
author = {Materna, Jiří},
address = {Atlanta, Georgia},
booktitle = {Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies},
editor = {Lucy Vanderwende, Hal Daume III, Katrin Kirchhoff},
keywords = {LDA-Frames; semantic frames; valency frames; non-parametric methods},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Atlanta, Georgia},
isbn = {978-1-937284-47-3},
pages = {482-486},
publisher = {Association for Computational Linguistics},
title = {Parameter Estimation for LDA-Frames},
url = {http://www.aclweb.org/anthology/N/N13/},
year = {2013}
}
TY - JOUR
ID - 1119969
AU - Materna, Jiří
PY - 2013
TI - Parameter Estimation for LDA-Frames
PB - Association for Computational Linguistics
CY - Atlanta, Georgia
SN - 9781937284473
KW - LDA-Frames
KW - semantic frames
KW - valency frames
KW - non-parametric methods
UR - http://www.aclweb.org/anthology/N/N13/
N2 - LDA-frames is an unsupervised approach for identifying semantic frames from semantically unlabeled text corpora, and seems to be a useful competitor for manually created databases of selectional preferences. The most limiting property of the algorithm is such that the number of frames and roles must be predefined. In this paper we present a modification of the LDA-frames algorithm allowing the number of frames and roles to be determined automatically, based on the character and size of training data.
ER -
MATERNA, Jiří. Parameter Estimation for LDA-Frames. In Lucy Vanderwende, Hal Daume III, Katrin Kirchhoff. \textit{Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies}. Atlanta, Georgia: Association for Computational Linguistics. p.~482-486. ISBN~978-1-937284-47-3. 2013.
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