TY  - CHAP
U1  - Buchbeitrag
A1  - Dakota, Daniel
T1  - Brown clustering for unlexicalized parsing
T2  - Proceedings of the 13th Conference on Natural Language Processing (KONVENS) Bochum, Germany September 19–21, 2016
N2  - Brown clustering has been used to help increase parsing performance for morphologically rich languages. However, much of the work has focused on using clustering techniques to replace terminal nodes or as a feature for parsing. Instead, we choose to examine how effectively Brown clustering is for unlexicalized parsing by creating data-driven POS tagsets which are then used with the Berkeley parser. We investigate cluster sizes as well as on what information (e.g. words vs. lemmas) clustering will yield the best parser performance. Our results approach the current state of the art results for the German T¨uBa-D/Z treebank when using parser internal tagging.
T3  - Bochumer Linguistische Arbeitsberichte - 16 
KW  - Cluster <Datenanalyse>
KW  - Brown clustering
KW  - Deutsch
KW  - Automatische Sprachanalyse;
Y1  - 2016
U6  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-61818
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-61818
UR  - https://www.linguistics.rub.de/bla/
SN  - 2190-0949
SS  - 2190-0949
SP  - 68
EP  - 77
PB  - Ruhr-Universität Bochum
CY  - Bochum
ER  -