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Plausibility Testing for Lexical Resources
KTH, School of Computer Science and Communication (CSC), Theoretical Computer Science, TCS.ORCID iD: 0000-0003-4042-4919
2017 (English)In: Proceedings of CLEF 2017: Information Access Evaluation meets Multilinguality, Multimodality, and Visualization, 2017Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

This paper describes principles for evaluation metrics for lexical components and an implementation of them based on requirements from practical information system

Place, publisher, year, edition, pages
2017.
Keyword [en]
information access, language technology, lexical resources, evaluation
National Category
Language Technology (Computational Linguistics)
Identifiers
URN: urn:nbn:se:kth:diva-212183OAI: oai:DiVA.org:kth-212183DiVA: diva2:1133831
Conference
CLEF 2017 Conference and Labs of the Evaluation Forum
Note

QC 20170817

Available from: 2017-08-17 Created: 2017-08-17 Last updated: 2017-09-15Bibliographically approved

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fulltext(207 kB)16 downloads
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File name FULLTEXT01.pdfFile size 207 kBChecksum SHA-512
65104bc4313ff37952590166321a75c6bf4c054b1a3d3013fcd6ebcfd2e85a9f411bc262b701b92728f09f318b51da8c8ad8f33564dc93662a341d4fc420bb83
Type fulltextMimetype application/pdf

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Karlgren, JussiStymne, Sara
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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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