In this paper we introduce the notion of "frame relatedness", i.e. relatedness among prototypical situations as represented in the FrameNet database. We first demonstrate the cognitive plausibility of that notion through an annotation experiment, and then propose different types of computational measures to automatically assess relatedness. Results show that our measures provide good performance on the task of ranking pairs of frames.
The most relevant to our research is the work of REF , which introduces the notion of "frame relatedness" and proposes different types of measures to asses it.
Measuring Frame Relatedness
EACL
Computer Science