Buchbeitrag
Sprucing up the trees – error detection in treebanks
We present a method for detecting annotation errors in manually and automatically annotated dependency parse trees, based on ensemble parsing in combination with Bayesian inference, guided by active learning. We evaluate our method in different scenarios: (i) for error detection in dependency treebanks and (ii) for improving parsing accuracy on in- and out-of-domain data.
- Language
-
Englisch
- Subject
-
Automatische Spracherkennung
Annotation
Parser
Sprache
- Event
-
Geistige Schöpfung
- (who)
-
Rehbein, Ines
Ruppenhofer, Josef
- Event
-
Veröffentlichung
- (who)
-
Stroudsburg PA, USA : The Association for Computational Linguistics
- (when)
-
2018-09-26
- URN
-
urn:nbn:de:bsz:mh39-79938
- Last update
-
06.03.2025, 9:00 AM CET
Data provider
This object is provided by:
Leibniz-Institut für Deutsche Sprache - Bibliothek. If you have any questions about the object, please contact the data provider.
Leibniz-Institut für Deutsche Sprache - Bibliothek. If you have any questions about the object, please contact the data provider.
Object type
- Buchbeitrag
Associated
- Rehbein, Ines
- Ruppenhofer, Josef
- Stroudsburg PA, USA : The Association for Computational Linguistics
Time of origin
- 2018-09-26
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