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Automatic learning of discourse relations in Swedish using cue phrases

In English

Författare

Redaktör

  • Hrafn Loftsson
  • Eiríkur Rögnvaldsson
  • Sigrún Helgadóttir

Summary, in English

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.

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

Ämne

  • Computer Science
  • Electrical Engineering, Electronic Engineering, Information Engineering

Conference name

7th International Conference on NLP, IceTAL 2010

Conference date

2010-08-16 - 2010-08-18

Conference place

Reykjavik, Iceland

Status

Published

ISBN/ISSN/Övrigt

  • ISSN: 1611-3349
  • ISSN: 0302-9743
  • ISBN: 978-3-642-14769-2