| Title: |
Effect Graph: Effect Relation Extraction for Explanation Generation |
| Authors: |
Karnstedt-Hulpus, Ioana; Kobbe, Jonathan; Stuckenschmidt, Heiner; Sub Data Intensive Systems; Data Intensive Systems; Dalvi Mishra, Bhavana; Durrett, Greg; Jansen, Peter; Neves Ribeiro, Danilo; Wei, Jason |
| Publication Year: |
2023 |
| Description: |
Argumentation is an important means of communication. For describing especially arguments about consequences, the notion of effect relations has been introduced recently. We propose a method to extract effect relations from large text resources and apply it on encyclopedic and argumentative texts. By connecting the extracted relations, we generate a knowledge graph which we call effect graph. For evaluating the effect graph, we perform crowd and expert annotations and create a novel dataset. We demonstrate a possible use case of the effect graph by proposing a method for explaining arguments from consequences. |
| Document Type: |
book part |
| File Description: |
application/pdf |
| Language: |
English |
| Relation: |
https://dspace.library.uu.nl/handle/1874/431619 |
| Availability: |
https://dspace.library.uu.nl/handle/1874/431619 |
| Rights: |
info:eu-repo/semantics/OpenAccess |
| Accession Number: |
edsbas.A21F8480 |
| Database: |
BASE |