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C H A Koster

Biographic Data

ID6536245
NAMEC H A Koster
GIVEN NAMESC H A
FAMILY NAMEKoster
SIGNATUREKOSTER C H A
AFFILIATIONSRadboud University Nijmegen
ORCID0009-0000-3393-6110
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS2
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2012
LATEST PUBLICATION YEAR2012
H-INDEX1
  • Text Representations for Patent Classification

    Open Access•Eva D’Hondt, Suzan Verberne et al.•ARTICLE•Computational Linguistics•2012•Cited by: 2

    With the increasing rate of patent application filings, automated patent classification is of rising economic importance. This article investigates how patent classification can be improved by using different representations of the patent documents. Using the Linguistic Classification System (LCS), we compare the impact of adding statistical phrases (in the form of bigrams) and linguistic phrases (in two different dependency formats) to the stand…

  • Text Representations for Patent Classification

    Open Access•Eva D’Hondt, Suzan Verberne et al.•ARTICLE•Computational Linguistics•2012•Cited by: 2

    With the increasing rate of patent application filings, automated patent classification is of rising economic importance. This article investigates how patent classification can be improved by using different representations of the patent documents. Using the Linguistic Classification System (LCS), we compare the impact of adding statistical phrases (in the form of bigrams) and linguistic phrases (in two different dependency formats) to the stand…

  • Text Representations for Patent Classification

    Open Access•Eva D’Hondt, Suzan Verberne et al.•ARTICLE•Computational Linguistics•2012•Cited by: 2

    With the increasing rate of patent application filings, automated patent classification is of rising economic importance. This article investigates how patent classification can be improved by using different representations of the patent documents. Using the Linguistic Classification System (LCS), we compare the impact of adding statistical phrases (in the form of bigrams) and linguistic phrases (in two different dependency formats) to the stand…

Artificial Intelligence (1 works) · Authorship Attribution and Profiling (1 works) · Bigram (1 works) · Biomedical Text Mining and Ontologies (1 works) · Class (philosophy (1 works) · Computer Science (1 works) · Generalizability theory (1 works) · Information retrieval (1 works) · Mathematics (1 works) · Natural language processing (1 works)

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