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A pipeline for extracting abstract dependency templates for data-to-text natural language generation

Mille, Simon orcid logoORCID: 0000-0002-8852-2764, Ricci, Josep, Shvets, Alexander orcid logoORCID: 0000-0002-8370-2109 and Belz, Anya orcid logoORCID: 0000-0002-0552-8096 (2023) A pipeline for extracting abstract dependency templates for data-to-text natural language generation. In: Seventh International Conference on Dependency Linguistics (Depling, GURT/SyntaxFest 2023), 9-12 Mar 2023, Washington, D.C..

Abstract
We present work in progress that aims to address the coverage issue faced by rule based text generators. We propose a pipeline for extracting abstract dependency template(predicate-argument structures)from WikipediatexttobeusedasinputforgeneratingtextfromstructureddatawiththeFORGe system. The pipeline comprises three main components:(i) candidate sentence retrieval, (ii)clause extraction, ranking and selection, and (iii) conversion to predicate-argument form. Wepresentanapproachandpreliminaryevaluationfortherankingandselectionmodule.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Subjects:Computer Science > Computational linguistics
Computer Science > Machine learning
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > ADAPT
Published in: Proceedings of the Seventh International Conference on Dependency Linguistics (Depling, GURT/SyntaxFest 2023). . Association for Computational Linguistics (ACL).
Publisher:Association for Computational Linguistics (ACL)
Official URL:https://aclanthology.org/2023.depling-1.9
Copyright Information:© 2023 ACL
Funders:ADAPT/DCU by the MSCA-PF-EF2021 grant awarded for the action 101062572, UPF by the EC-funded research and innovation programme Horizon Europe under the grant agreement number 101070278 and by the Erasmus + programme
ID Code:28661
Deposited On:04 Jul 2023 10:38 by Anya Belz . Last Modified 04 Jul 2023 10:38
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