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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 (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)
URN: urn:nbn:se:liu:diva-114366ISBN: 978-1-941643-24-2OAI: diva2:789565
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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Human-Centered systemsThe Institute of Technology
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