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A Method for Building FrameNet-like Corpus for the Biomedical Domain
Jönköping University, School of Engineering, JTH. Research area Information Engineering. Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering.
2014 (English)In: Proceedings of the 5th International Workshop on Health Text Mining and Information Analysis (Louhi) / [ed] Martin Duneld, Association for Computational Linguistics, 2014, 46-53 p.Conference paper, Published paper (Refereed)
Abstract [en]

Semantic Role Labeling (SRL) plays an important role in different text mining tasks. The development of SRL systems for the biomedical area is frustrated by the lack of large-scale domain specific corpora that are annotated with semantic roles. In our previous work, we proposed a method for building FramenNet-like corpus for the area using domain knowledge provided by ontologies. In this paper, we present a framework for supporting the method and the system which we developed based on the framework. In the system we have developed the algorithms for selecting appropriate concepts to be translated into semantic frames, for capturing the information that describes frames from ontology terms, and for collecting example sentence using ontological knowledge.

Place, publisher, year, edition, pages
Association for Computational Linguistics, 2014. 46-53 p.
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:hj:diva-27839ISBN: 978-1-937284-90-9 (print)OAI: oai:DiVA.org:hj-27839DiVA: diva2:850990
Conference
14th Conference of the European Chapter of the Association for Computational Linguistics
Available from: 2015-09-03 Created: 2015-09-03 Last updated: 2015-09-04Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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