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SemEval 2014 Task 8: Broad-Coverage Semantic Dependency Parsing
University of Oslo.
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
National Institute of Informatics, Tokyo.
Charles University in Prague.
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2014 (English)In: Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), Association for Computational Linguistics, 2014, 63-72 p.Conference paper, Published paper (Refereed)
Abstract [en]

Task 8 at SemEval 2014 defines Broad-Coverage Semantic Dependency Parsing (SDP) as the problem of recovering sentence-internal predicate–argument relationships for all content words, i.e. the semantic structure constituting the relational core of sentence meaning. In this task description, we position the problem in comparison to other sub-tasks in computational language analysis, introduce the semantic dependency target representations used, reflect on high-level commonalities and differences between these representations, and summarize the task setup, participating systems, and main results.

Place, publisher, year, edition, pages
Association for Computational Linguistics, 2014. 63-72 p.
National Category
Language Technology (Computational Linguistics)
Identifiers
URN: urn:nbn:se:liu:diva-114368ISBN: 978-1-941643-24-2 (print)OAI: oai:DiVA.org:liu-114368DiVA: diva2:789569
Conference
8th International Workshop on Semantic Evaluation (SemEval 2014)
Available from: 2015-02-19 Created: 2015-02-19 Last updated: 2015-02-24

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Kuhlmann, Marco

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  • apa
  • harvard1
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  • de-DE
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  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
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