Umeå University's logo

umu.sePublications
System disruptions
We are currently experiencing disruptions on the search portals due to high traffic. We are working to resolve the issue, you may temporarily encounter an error message.
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-6th-edition.csl
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Bottom-up unranked tree-to-graph transducers for translation into semantic graphs
Umeå University, Faculty of Science and Technology, Department of Computing Science. (Foundations of Language Processing)ORCID iD: 0000-0001-8503-0118
University of Edinburgh.
Umeå University, Faculty of Science and Technology, Department of Computing Science. (Foundations of Language Processing)ORCID iD: 0000-0001-7349-7693
University of Padova.
2019 (English)In: Proceedings of the 14th International Conference on Finite-State Methods and Natural Language Processing / [ed] Heiko Vogler; Andreas Maletti, Association for Computational Linguistics, 2019, p. 7-17, article id W19-3104Conference paper, Published paper (Refereed)
Abstract [en]

We propose a formal model for translating unranked syntactic trees, such as dependency trees, into semantic graphs. These tree-to-graph transducers can serve as a formal basis of transition systems for semantic parsing which recently have been shown to perform very well, yet hitherto lack formalization. Our model features "extended" rules and an arc-factored normal form, comes with an efficient translation algorithm, and can be equipped with weights in a straightforward manner.

Place, publisher, year, edition, pages
Association for Computational Linguistics, 2019. p. 7-17, article id W19-3104
National Category
Computer Sciences Natural Language Processing
Research subject
Computer Science; computational linguistics
Identifiers
URN: urn:nbn:se:umu:diva-162561OAI: oai:DiVA.org:umu-162561DiVA, id: diva2:1344873
Conference
The 14th International Conference on Finite-State Methods and Natural Language Processing, FSMNLP, Dresden, Germany, September 23–25, 2019
Available from: 2019-08-22 Created: 2019-08-22 Last updated: 2025-02-01Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

URL

Authority records

Björklund, JohannaDrewes, Frank

Search in DiVA

By author/editor
Björklund, JohannaDrewes, Frank
By organisation
Department of Computing Science
Computer SciencesNatural Language Processing

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 851 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-6th-edition.csl
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf