Expanding Russian PropBank: Challenges and Insights for Developing New SRL Resources

Abstract

Semantic role labeling (SRL) resources, such as Proposition Bank (PropBank), provide useful input to downstream applications. In this paper we present some challenges and insights we learned while expanding the previously developed Russian PropBank. This new effort involved annotation and adjudication of all predicates within a subset of the prior work in order to provide a test corpus for future applications. We discuss a number of new issues that arose while developing our PropBank for Russian as well as our solutions. Framing issues include: distinguishing between morphological processes that warrant new frames, differentiating between modal verbs and predicate verbs, and maintaining accurate representations of a given language’s semantics. Annotation issues include disagreements derived from variability in Universal Dependency parses and semantic ambiguity within the text. Finally, we demonstrate how Russian sentence structures reveal inherent limitations to PropBank’s ability to capture semantic data. These discussions should prove useful to anyone developing a PropBank or similar SRL resources for a new language.

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