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.
|Title of host publication||Proceedings of the International FrameNet Workshop 2020|
|Subtitle of host publication||Towards a Global, Multilingual FrameNet|
|Publisher||European Language Resources Association (ELRA)|
|Number of pages||10|
|Publication status||Published - May 2020|