Generating Training Data for Semantic Role Labeling based on Label Transfer from Linked Lexical Resources

We present a new approach for generating role-labeled training data using Linked Lexical Resources, i.e., integrated lexical resources that combine several resources (e.g., Word-Net, FrameNet, Wiktionary) by linking them on the sense or on the role level. Unlike resource-based supervision in relatio...

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Veröffentlicht in:	Transactions of the Association for Computational Linguistics 2021-03, Vol.4, p.197-213
Hauptverfasser:	Hartmann, Silvana, Eckle-Kohler, Judith, Gurevych, Iryna
Format:	Artikel
Sprache:	eng
Schlagworte:	Annotations Classifiers Computational linguistics Frame semantics Labels Semantic roles Semantics Training Word sense disambiguation Words (language)
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