TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Rehbein, Ines
T1  - Data point selection for self-training
T2  - Proceedings of SPMRL 2011. The Second Workshop on Statistical Parsing of Morphologically Rich Languages (SPMRL 2011). October 6, 2011. Dublin, Ireland
N2  - Problems for parsing morphologically rich languages are, amongst others, caused by the higher variability in structure due to less rigid word order constraints and by the higher number of different lexical forms. Both properties can result in sparse data problems for statistical parsing. We present a simple approach for addressing these issues. Our approach makes use of self-training on instances selected with regard to their similarity to the annotated data. Our similarity measure is based on the perplexity of part-of-speech trigrams of new instances measured against the annotated training data. Preliminary results show that our method outperforms a self-training setting where instances are simply selected by order of occurrence in the corpus and argue that selftraining is a cheap and effective method for improving parsing accuracy for morphologically rich languages.
KW  - Satzanalyse
KW  - Automatische Sprachanalyse
Y1  - 2011
U6  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-56043
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-56043
UR  - https://aclanthology.info/pdf/W/W11/W11-3800.pdf
SN  - 978-1-932432-73-2
SB  - 978-1-932432-73-2
SP  - 62
EP  - 67
PB  - Association for Computational
CY  - Stroudsburg, PA
ER  -