Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Passage retrieval in a question answering system.

Pyykkö, Juri ; Weegar, Rebecka and Nugues, Pierre LU orcid (2014) The Fifth Swedish Language Technology Conference (SLTC 2014)
Abstract
In this paper, we describe a passage retrieval component for a questioning answering system and we evaluate its performance on

Swedish documents. We used a corpus of questions and answers transcribed from the Swedish board game Kvitt eller dubbelt

and, as source for the passages, we used the articles of the Swedish version of Wikipedia. We show that Wikipedia is a suitable

knowledge source to answer the game questions. For answers consisting of one word, we could extract passages of text that

contained the right answer for 91% of the questions and when these answers corresponded to an entity, we found and ranked

correct answers for up to 75% of the questions.
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Contribution to conference
publication status
published
subject
conference name
The Fifth Swedish Language Technology Conference (SLTC 2014)
conference location
Uppsala, Sweden
conference dates
2014-11-13 - 2014-11-14
language
English
LU publication?
yes
id
7cabb4e7-16cd-4e43-b421-75db3b1f91ba (old id 5115017)
alternative location
http://www2.lingfil.uu.se/SLTC2014/abstracts/sltc2014_submission_3.pdf
date added to LUP
2016-04-04 13:25:56
date last changed
2021-05-06 16:28:07
@misc{7cabb4e7-16cd-4e43-b421-75db3b1f91ba,
  abstract     = {In this paper, we describe a passage retrieval component for a questioning answering system and we evaluate its performance on<br/><br>
Swedish documents. We used a corpus of questions and answers transcribed from the Swedish board game Kvitt eller dubbelt<br/><br>
and, as source for the passages, we used the articles of the Swedish version of Wikipedia. We show that Wikipedia is a suitable<br/><br>
knowledge source to answer the game questions. For answers consisting of one word, we could extract passages of text that<br/><br>
contained the right answer for 91% of the questions and when these answers corresponded to an entity, we found and ranked<br/><br>
correct answers for up to 75% of the questions.},
  author       = {Pyykkö, Juri and Weegar, Rebecka and Nugues, Pierre},
  language     = {eng},
  title        = {Passage retrieval in a question answering system.},
  url          = {http://www2.lingfil.uu.se/SLTC2014/abstracts/sltc2014_submission_3.pdf},
  year         = {2014},
}