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.
- Sprache
-
Englisch
- Thema
-
Automatische Spracherkennung
Annotation
Parser
Sprache
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Rehbein, Ines
Ruppenhofer, Josef
- Ereignis
-
Veröffentlichung
- (wer)
-
Stroudsburg PA, USA : The Association for Computational Linguistics
- (wann)
-
2018-09-26
- URN
-
urn:nbn:de:bsz:mh39-79938
- Letzte Aktualisierung
-
06.03.2025, 09:00 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Leibniz-Institut für Deutsche Sprache - Bibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Leibniz-Institut für Deutsche Sprache - Bibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Buchbeitrag
Beteiligte
- Rehbein, Ines
- Ruppenhofer, Josef
- Stroudsburg PA, USA : The Association for Computational Linguistics
Entstanden
- 2018-09-26
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