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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Published in: Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, 22-24 May 2017, Gothenburg, Sweden
Linköping Electronic Conference Proceedings 131:41, p. 293-297
NEALT Proceedings Series 29:41, p. 293-297
Published: 2017-05-08
ISBN: 978-91-7685-601-7
ISSN: 1650-3686 (print), 1650-3740 (online)
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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