Towards Reference-Aware FrameNet Annotation
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.
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