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Author(s): Hartmann, Silvana; Szarvas, György; Gurevych, Iryna
Title: Mining multiword terms from Wikipedia
In: Pazienza, Maria Teresa; Stellato, Armando (Hrsg.): Semi-automatic ontology development: Processes and resources, Hershey; PA: IGI Global, 2012 , S. 226-258
URL: http://www.ukp.tu-darmstadt.de/fileadmin/user_upload/Group_UKP/publikationen/2012/hartmann_chap_pazienza_book.pdf
Publication Type: 4. Beiträge in Sammelwerken; Sammelband (keine besondere Kategorie)
Language: Englisch
Keywords: Computerunterstütztes Verfahren; Fachsprache; Internet; Nachschlagewerk; Ontologie; Statistische Methode; Terminologie
Abstract: The collection of the specialized vocabulary of a particular domain (terminology) is an important initial
step of creating formalized domain knowledge representations (ontologies). Terminology Extraction
(TE) aims at automating this process by collecting the relevant domain vocabulary from existing lexical
resources or collections of domain texts. In this chapter, the authors address the extraction of multiword
terminology, as multiword terms are very frequent in terminology but typically poorly represented in
standard lexical resources. They present their method for mining multiword terminology from Wikipedia
and the freely available terminology resource that they extracted using the presented method. Terminology
extraction based on Wikipedia exploits the advantages of a huge multilingual, domain-transcending
knowledge source and large scale structural information that can identify potential multiword units
without the need for linguistic processing tools. Thus, while evaluated in English, the proposed method
is basically applicable to all languages in Wikipedia.
DIPF-Departments: Informationszentrum Bildung