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Extracting a bilingual semantic grammar from FrameNet-annotated corpora

  • University of Gothenburg

Research output: Chapter in Book/Report/Conference proceedingConference paperResearchpeer-review

6 Citations (Scopus)

Abstract

We present the creation of an English-Swedish FrameNet-based grammar in Grammatical Framework. The aim of this research is to make existing framenets computationally accessible for multilingual natural language applications via a common semantic grammar API, and to facilitate the porting of such grammar to other languages. In this paper, we describe the abstract syntax of the semantic grammar while focusing on its automatic extraction possibilities. We have extracted a shared abstract syntax from ∼58, 500 annotated sentences in Berkeley FrameNet (BFN) and ∼3, 500 annotated sentences in Swedish FrameNet (SweFN). The abstract syntax defines 769 frame-specific valence patterns that cover 77, 8% examples in BFN and 74, 9% in SweFN belonging to the shared set of 471 frames. As a side result, we provide a unified method for comparing semantic and syntactic valence patterns across framenets.

Original languageEnglish
Title of host publicationProceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014
EditorsNicoletta Calzolari, Khalid Choukri, Sara Goggi, Thierry Declerck, Joseph Mariani, Bente Maegaard, Asuncion Moreno, Jan Odijk, Helene Mazo, Stelios Piperidis, Hrafn Loftsson
PublisherEuropean Language Resources Association (ELRA)
Pages2466-2473
Number of pages8
ISBN (Electronic)9782951740884
Publication statusPublished - 2014
Event9th International Conference on Language Resources and Evaluation, LREC 2014 - Reykjavik, Iceland
Duration: 26 May 201431 May 2014

Publication series

NameProceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014

Conference

Conference9th International Conference on Language Resources and Evaluation, LREC 2014
Country/TerritoryIceland
CityReykjavik
Period26/05/1431/05/14

Keywords

  • Computational Grammar
  • FrameNet
  • Grammatical Framework
  • Multilinguality
  • Natural language generation

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