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A Method for Building FrameNet-like Corpus for the Biomedical Domain
Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsmiljö Informationsteknik. Högskolan i Jönköping, Tekniska Högskolan, JTH, Data- och elektroteknik. Högskolan i Jönköping, Tekniska Högskolan, JTH, Datateknik och informatik, JTH, Jönköping AI Lab (JAIL).
2014 (engelsk)Inngår i: Proceedings of the 5th International Workshop on Health Text Mining and Information Analysis (Louhi) / [ed] Martin Duneld, Association for Computational Linguistics, 2014, s. 46-53Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
Association for Computational Linguistics, 2014. s. 46-53
HSV kategori
Identifikatorer
URN: urn:nbn:se:hj:diva-27839ISBN: 978-1-937284-90-9 (tryckt)OAI: oai:DiVA.org:hj-27839DiVA, id: diva2:850990
Konferanse
14th Conference of the European Chapter of the Association for Computational Linguistics
Tilgjengelig fra: 2015-09-03 Laget: 2015-09-03 Sist oppdatert: 2019-08-22bibliografisk kontrollert

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