Eintrag

Titel

GeCoTagger: annotation of German verb complements with conditional random fields

Personen

Monica Fürbacher, Roman Schneider

Jahr

2018

Typ

Aufsatz

Verlag

European Language Resources Association (ELRA)

Ort

Paris

Seiten

2169 - 2174

In

Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

Schlagwörter

Grammis
Konditional
Verb

Abstract

Complement phrases are essential for constructing well-formed sentences in German. Identifying verb complements and categorizing complement classes is challenging even for linguists who are specialized in the field of verb valency. Against this background, we introduce an ML-based algorithm which is able to identify and classify complement phrases of any German verb in any written sentence context. We use a large training set consisting of example sentences from a valency dictionary, enriched with POS tagging, and the ML-based technique of Conditional Random Fields (CRF) to generate the classification models.

https://grammis.ids-mannheim.de/bdg/106372