Automatic learning of discourse relations in Swedish using cue phrases
Karlsson, Stefan and Nugues, Pierre LU
(2010)
7th International Conference on NLP, IceTAL 2010
6233.
p.179-184
- Abstract
- 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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1668785
- author
- Karlsson, Stefan
and Nugues, Pierre
LU
- organization
- publishing date
- 2010
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Advances in Natural Language Processing / Lecture Notes in Computer Science,
- editor
- Loftsson, Hrafn ; Rögnvaldsson, Eiríkur and Helgadóttir, Sigrún
- volume
- 6233
- pages
- 179 - 184
- publisher
- Springer
- conference name
- 7th International Conference on NLP, IceTAL 2010
- conference location
- Reykjavik, Iceland
- conference dates
- 2010-08-16 - 2010-08-18
- external identifiers
-
- wos:000289187000021
- scopus:77956603902
- ISSN
- 0302-9743
- 1611-3349
- ISBN
- 978-3-642-14769-2
- DOI
- 10.1007/978-3-642-14770-8_21
- language
- English
- LU publication?
- yes
- id
- 3b49351a-0d0f-4531-89f0-0e8c17682cd3 (old id 1668785)
- date added to LUP
- 2016-04-01 10:40:08
- date last changed
- 2024-01-06 22:08:32
@inproceedings{3b49351a-0d0f-4531-89f0-0e8c17682cd3,
abstract = {{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%. <br/><br>
The conclusion is that this technique, possibly with improvements or modifications, seems usable to capture discourse relations in Swedish.}},
author = {{Karlsson, Stefan and Nugues, Pierre}},
booktitle = {{Advances in Natural Language Processing / Lecture Notes in Computer Science,}},
editor = {{Loftsson, Hrafn and Rögnvaldsson, Eiríkur and Helgadóttir, Sigrún}},
isbn = {{978-3-642-14769-2}},
issn = {{0302-9743}},
language = {{eng}},
pages = {{179--184}},
publisher = {{Springer}},
title = {{Automatic learning of discourse relations in Swedish using cue phrases}},
url = {{http://dx.doi.org/10.1007/978-3-642-14770-8_21}},
doi = {{10.1007/978-3-642-14770-8_21}},
volume = {{6233}},
year = {{2010}},
}