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Quote Extraction and Attribution from Norwegian Newspapers

Andrew Salway
Language and Language Technology Group, Uni Research, Bergen, Norway

Paul Meurer
Language and Language Technology Group, Uni Research, Bergen, Norway

Knut Hofland
Language and Language Technology Group, Uni Research, Bergen, Norway

Øystein Reigem
Language and Language Technology Group, Uni Research, Bergen, Norway

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Ingår i: Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, 22-24 May 2017, Gothenburg, Sweden

Linköping Electronic Conference Proceedings 131:41, s. 293-297

NEALT Proceedings Series 29:41, s. 293-297

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Publicerad: 2017-05-08

ISBN: 978-91-7685-601-7

ISSN: 1650-3686 (tryckt), 1650-3740 (online)

Abstract

We present ongoing work that, for the first time, seeks to extract and attribute politicians’ quotations from Norwegian Bokmål newspapers. Our method – using a statistical dependency parser, a few regular expressions and a look-up table – gives modest recall (a best of .570) but very high precision (.978) and attribution accuracy (.987) for a restricted set of speaker names. We suggest that this is already sufficient to support some kinds of important social science research, but also identify ways in which performance could be improved.

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Referenser

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