Abstract
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.
| Original language | English |
|---|---|
| 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) |
| Pages | 13-22 |
| Number of pages | 10 |
| Publication status | Published - May 2020 |
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