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Multilingual Semantic Parsing with a Pipeline of Linear Classifiers
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology. (Datorlingvistik)
2009 (English)In: Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL 2009): Shared Task, Boulder, Colorado: Association for Computational Linguistics , 2009, 103-108 p.Conference paper, Published paper (Refereed)
Abstract [en]

I describe a fast multilingual parser for semantic dependencies. The parser is implemented as a pipeline of linear classifiers trained with support vector machines. I use only first order features, and no pair-wise feature combinations in order to reduce training and prediction times. Hyper-parameters are carefully tuned for each language and sub-problem. The system is evaluated on seven different languages: Catalan, Chinese, Czech, English, German, Japanese and Spanish. An analysis of learning rates and of the reliance on syntactic parsing quality shows that only modest improvements could be expected for most languages given more training data; Better syntactic parsing quality, on the other hand, could greatly improve the results. Individual tuning of hyper-parameters is crucial for obtaining good semantic parsing quality.

Place, publisher, year, edition, pages
Boulder, Colorado: Association for Computational Linguistics , 2009. 103-108 p.
Keyword [en]
Semantic Role Labelling
National Category
Language Technology (Computational Linguistics) Language Technology (Computational Linguistics)
Research subject
Computational Linguistics
Identifiers
URN: urn:nbn:se:uu:diva-120414OAI: oai:DiVA.org:uu-120414DiVA: diva2:303304
Conference
Thirteenth Conference on Computational Natural Language Learning (CoNLL 2009): Shared Task
Available from: 2010-03-11 Created: 2010-03-11 Last updated: 2011-03-22Bibliographically approved

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http://www.aclweb.org/anthology/W/W09/W09-1216

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Täckström, Oscar

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association
  • 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