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.- Anthology ID:
- 2020.framenet-1.3
- Volume:
- Proceedings of the International FrameNet Workshop 2020: Towards a Global, Multilingual FrameNet
- Month:
- May
- Year:
- 2020
- Address:
- Marseille, France
- Editors:
- Tiago T. Torrent, Collin F. Baker, Oliver Czulo, Kyoko Ohara, Miriam R. L. Petruck
- Venue:
- Framenet
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 13–22
- Language:
- English
- URL:
- https://aclanthology.org/2020.framenet-1.3
- DOI:
- Cite (ACL):
- Levi Remijnse and Gosse Minnema. 2020. Towards Reference-Aware FrameNet Annotation. In Proceedings of the International FrameNet Workshop 2020: Towards a Global, Multilingual FrameNet, pages 13–22, Marseille, France. European Language Resources Association.
- Cite (Informal):
- Towards Reference-Aware FrameNet Annotation (Remijnse & Minnema, Framenet 2020)
- PDF:
- https://preview.aclanthology.org/naacl-24-ws-corrections/2020.framenet-1.3.pdf