TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Rehbein, Ines
ED  - Levin, Lori
ED  - Stede, Manfred
T1  - POS error detection in automatically annotated corpora
T2  - Proceedings of the 8th Linguistic Annotation Workshop in conjunction with COLING 2014 (LAW-VIII). August 23-24, 2014. Dublin, Ireland
N2  - Recent work on error detection has shown that the quality of manually annotated corpora can be substantially improved by applying consistency checks to the data and automatically identifying incorrectly labelled instances. These methods, however, can not be used for automatically annotated corpora where errors are systematic and cannot easily be identified by looking at the variance in the data. This paper targets the detection of POS errors in automatically annotated corpora, so-called silver standards, showing that by combining different measures sensitive to annotation quality we can identify a large part of the errors and obtain a substantial increase in accuracy.
KW  - Korpus <Linguistik>
KW  - Automatische Sprachanalyse
KW  - Annotation
Y1  - 2014
U6  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-55986
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-55986
SN  - 978-1-941643-29-7
SB  - 978-1-941643-29-7
SP  - 20
EP  - 28
PB  - ACL
CY  - Stroudsburg, PA
ER  -