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Building frame-based corpus on the basis of ontological domain knowledge
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, The Institute of Technology.
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, The Institute of Technology. (IDA/ADIT)
Linköping University, Department of Biomedical Engineering. Linköping University, The Institute of Technology.
2011 (English)In: Proceedings of the Workshop on BioNLP, Association for Computational Linguistics, 2011, 74-82 p.Conference paper, Published paper (Refereed)
Abstract [en]

Semantic Role Labeling (SRL) plays a key role in many NLP applications. The development of SRL systems for the biomedical domain is frustrated by the lack of large domain-specific corpora that are labeled with semantic roles. Corpus development has been very expensive and time-consuming. In this paper we propose a method for building frame-based corpus on the basis of domain knowledge provided by ontologies. We believe that ontologies, as a structured and semantic representation of domain knowledge, can instruct and ease the tasks in building the corpora. In the paper we present a corpus built by using the method. We compared it to BioFrameNet, and examined the gaps between the semantic classification of the target words in the domain-specific corpus and in FrameNet and Prop-Bank/VerbNet.

Place, publisher, year, edition, pages
Association for Computational Linguistics, 2011. 74-82 p.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:liu:diva-74810ISBN: 978-1-932432-91-6 (print)OAI: oai:DiVA.org:liu-74810DiVA: diva2:495822
Conference
BioNLP
Available from: 2012-02-09 Created: 2012-02-09 Last updated: 2015-06-10

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Tan, HeKaliyaperumal, RajaramBenis, Nirupama

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Tan, HeKaliyaperumal, RajaramBenis, Nirupama
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Database and information techniquesThe Institute of TechnologyDepartment of Biomedical Engineering
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  • nn-NB
  • sv-SE
  • Other locale
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Output format
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