liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
IPhraxtor - A linguistically informed system for extraction of term candidates
Linköping University, Department of Computer and Information Science, Human-Centered systems. (CILTLab, HCS)
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, The Institute of Technology. (CILTLab, HCS)
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering. (CILTLab, HCS)
2013 (English)In: Proceedings of the 19th Nordic Conference on Computational Linguistics (Nodalida 2013), Oslo, May 22-24, 2013, NEALT Proceedings Series 16 / [ed] Stephan Oepen, Kristin Hagen, Janne Bondi Johannesse, Linköping: Linköping University Electronic Press, 2013, Vol. 85, 121-132 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this paper a method and a flexible tool for performing monolingual term extraction is presented; based on the use of syntactic analysis where information on parts-of-speech; syntactic functions and surface syntax tags can be utilised. The standard approaches to evaluating term extraction; namely by manual evaluation of the top n term candidates or by comparing to a gold standard consisting of a list of terms from a specific domain can have its advantages; but in this paper we try to realise a proposal by Bernier-Colborne (2012) where extracted terms are compared to a gold standard consisting of a test corpus where terms have been annotated in context. Apart from applying this evaluation to different configuratio

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2013. Vol. 85, 121-132 p.
Series
Linköping Electronic Conference Proceedings, ISSN 1650-3686, E-ISSN 1650-3740 ; 85
Keyword [en]
Computational terminology; term extraction; evaluation; terminological work
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-103994ISBN: 978-91-7519-589-6 (print)OAI: oai:DiVA.org:liu-103994DiVA: diva2:693773
Conference
19th Nordic Conference on Computational Linguistics (Nodalida 2013), Oslo, May 22-24, 2013
Available from: 2014-02-05 Created: 2014-02-05 Last updated: 2017-10-05Bibliographically approved

Open Access in DiVA

IPhraxtor - A linguistically informed system for extraction of term candidates(636 kB)5 downloads
File information
File name FULLTEXT01.pdfFile size 636 kBChecksum SHA-512
76d7895b67d4bd1534d376a25978ae6a30d6a898415f2984652e8fc0b7c58bf25a6cd1572989fe15c48d4855602eb1f492771eb02c0586bbf2e853040eff6845
Type fulltextMimetype application/pdf

Other links

Link to full text

Authority records BETA

Merkel, MagnusAhrenberg, Lars

Search in DiVA

By author/editor
Merkel, MagnusAhrenberg, Lars
By organisation
Human-Centered systemsThe Institute of TechnologyFaculty of Science & Engineering
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 5 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 91 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf