Towards Reference-Aware FrameNet Annotation
Levi Remijnse, Gosse Minnema · University of Groningen research database (University of Groningen / Centre for Information Technology) · 2020
In this paper, we introduce the task of using FrameNet to link structured information about real-world events to the conceptual frames used in texts describing these events. We show that frames made relevant by the knowledge of the real-world event can be captured by complementing standard lexicon-driven FrameNet annotations with frame annotations derived through pragmatic inference. We propose a two-layered annotation scheme with a ‘strict’FrameNet-compatible lexical layer and a ‘loose’layer capturing frames that are inferred from referential data.