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Can We Quantify Domainhood?: Exploring Measures to Assess Domain-Specificity in Web Corpora
RISE SICS Linköping, Sweden.
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering. RISE Research Institutes of Sweden AB.
Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-6468-2432
Örebro University, Örebro, Sweden.
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2018 (English)In: Communications in Computer and Information Science, vol 903. Springer, Cham / [ed] Elloumi M. et al., 2018, Vol. 903Conference paper, Published paper (Refereed)
Abstract [en]

Web corpora are a cornerstone of modern Language Technology. Corpora built from the web are convenient because their creation is fast and inexpensive. Several studies have been carried out to assess the representativeness of general-purpose web corpora by comparing them to traditional corpora. Less attention has been paid to assess the representativeness of specialized or domain-specific web corpora. In this paper, we focus on the assessment of domain representativeness of web corpora and we claim that it is possible to assess the degree of domain-specificity, or domainhood, of web corpora. We present a case study where we explore the effectiveness of different measures - namely the Mann-Withney-Wilcoxon Test, Kendall correlation coefficient, Kullback–Leibler divergence, log-likelihood and burstiness - to gauge domainhood. Our findings indicate that burstiness is the most suitable measure to single out domain-specific words from a specialized corpus and to allow for the quantification of domainhood.

Place, publisher, year, edition, pages
2018. Vol. 903
Series
Communications in Computer and Information Science, ISSN 1865-0929, E-ISSN 1865-0937 ; 903
National Category
Language Technology (Computational Linguistics)
Identifiers
URN: urn:nbn:se:liu:diva-151423DOI: 10.1007/978-3-319-99133-7_17ISI: 000460552400017ISBN: 978-3-319-99132-0 (print)ISBN: 978-3-319-99133-7 (electronic)OAI: oai:DiVA.org:liu-151423DiVA, id: diva2:1249836
Conference
Database and Expert Systems Applications. DEXA 2018.
Note

Funding agencies: E-care@home, a "SIDUS - Strong Distributed Research Environment" project - Swedish Knowledge Foundation

Available from: 2018-09-20 Created: 2018-09-20 Last updated: 2019-03-20

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Nyström, MikaelJönsson, Arne

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Citation style
  • apa
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