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Contextual Hyperedge Replacement Grammars for Abstract Meaning Representations
Umeå University, Faculty of Science and Technology, Department of Computing Science. (Foundations of Language Processing)ORCID iD: 0000-0001-7349-7693
Umeå University, Faculty of Science and Technology, Department of Computing Science. (Foundations of Language Processing)
2017 (English)In: 13th International Workshop on Tree-Adjoining Grammar and Related Formalisms (TAG+13) / [ed] M. Kuhlmann, T. Scheffler, Association for Computational Linguistics, 2017Conference paper, (Refereed)
Abstract [en]

We show how contextual hyperedge replacement grammars can be used to generate abstract meaning representations (AMRs), and argue that they are more suitable for this purpose than hyperedge replacement grammars. Contextual hyperedge replacement turns out to have two advantages over plain hyperedge replacement: it can completely cover the language of all AMRs over a given domain of concepts, and at the same time its grammars become both smaller and simpler.

Place, publisher, year, edition, pages
Association for Computational Linguistics, 2017.
Keyword [en]
Abstract Meaning Representation, DAG Language, Contextual Hyperedge-Replacement
National Category
Computer Science
Identifiers
URN: urn:nbn:se:umu:diva-137921OAI: oai:DiVA.org:umu-137921DiVA: diva2:1128885
Conference
13th International Workshop on Tree-Adjoining Grammar and Related Formalisms (TAG+13), Umeå, Sweden, September 4-6, 2017
Available from: 2017-07-31 Created: 2017-07-31 Last updated: 2017-07-31

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  • apa
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