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Automatic learning of discourse relations in Swedish using cue phrases

  • Hrafn Loftsson
  • Eiríkur Rögnvaldsson
  • Sigrún Helgadóttir
Publiceringsår: 2010
Språk: Engelska
Sidor: 179-184
Publikation/Tidskrift/Serie: Advances in Natural Language Processing / Lecture Notes in Computer Science,
Volym: 6233
Dokumenttyp: Konferensbidrag
Förlag: Springer


This paper describes experiments to extract discourse relations holding between two text spans in Swedish. We considered three relation types: cause-explanation-evidence (CEV), contrast, and elaboration and we extracted word pairs eliciting these relations. We determined a list of Swedish cue phrases marking explicitly the relations and we learned the word pairs automatically from a corpus of 60 million words. We evaluated the method by building two-way classifiers and we obtained the results: Contrast vs. Other 67.9%, CEV vs. Other 57.7%, and Elaboration vs. Other 52.2%.
The conclusion is that this technique, possibly with improvements or modifications, seems usable to capture discourse relations in Swedish.



  • Technology and Engineering


7th International Conference on NLP, IceTAL 2010
Reykjavik, Iceland
  • ISSN: 0302-9743
  • ISBN: 978-3-642-14769-2

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