Conference article

Extracting Semantic Frames using hfst-pmatch

Sam Hardwick
University of Helsinki, Finland

Miikka Silfverberg
University of Helsinki, Finland

Krister Lindén
University of Helsinki, Finland

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Published in: Proceedings of the 20th Nordic Conference of Computational Linguistics, NODALIDA 2015, May 11-13, 2015, Vilnius, Lithuania

Linköping Electronic Conference Proceedings 109:42, s. 305-308

NEALT Proceedings Series 23:42, s. 305-308

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Published: 2015-05-06

ISBN: 978-91-7519-098-3

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

Abstract

We use hfst-pmatch (Lindén et al., 2013), a pattern-matching tool mimicking and extending Xerox fst (Karttunen, 2011), for demonstrating how to develop a semantic frame extractor. We select a FrameNet (Baker et al., 1998) frame and write shallowly syntactic pattern-matching rules based on part-of-speech information and morphology from either a morphological automaton or tagged text.

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References

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Krister Lindén, Erik Axelson, Senka Drobac, Sam Hardwick, Juha Kuokkala, Jyrki Niemi, Tommi Pirinen, and Miikka Silfverberg. 2013. HFST – a system for creating NLP tools. In Cerstin Mahlow and Michael Piotrowski, editors, Systems and Frameworks for Computational Morphology, volume 380 of Communications in Computer and Information Science, pages 53–71, Berlin Heidelberg. Springer.

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