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Linköping: Cubic-Time Graph Parsing with a Simple Scoring Scheme
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, The Institute of Technology. (Cognition, Interaction and Language Technology)ORCID iD: 0000-0002-2492-9872
2014 (English)In: Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), Association for Computational Linguistics, 2014, 395-399 p.Conference paper, Published paper (Refereed)
Abstract [en]

We turn the Eisner algorithm for parsing to projective dependency trees into a cubic-time algorithm for parsing to a restricted class of directed graphs. To extend the algorithm into a data-driven parser, we combine it with an edge-factored feature model and online learning. We report and discuss results on the SemEval-2014 Task 8 data sets (Oepen et al., 2014).

Place, publisher, year, edition, pages
Association for Computational Linguistics, 2014. 395-399 p.
National Category
Language Technology (Computational Linguistics)
Identifiers
URN: urn:nbn:se:liu:diva-114366ISBN: 978-1-941643-24-2 (print)OAI: oai:DiVA.org:liu-114366DiVA: diva2:789565
Conference
8th International Workshop on Semantic Evaluation (SemEval 2014)
Available from: 2015-02-19 Created: 2015-02-19 Last updated: 2015-02-26

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Kuhlmann, Marco

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • modern-language-association-8th-edition
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
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