Named entity disambiguation in a question answering system.
Klang, Marcus LU
and Nugues, Pierre
LU
(2014)
The Fifth Swedish Language Technology Conference (SLTC 2014)
- Abstract
- In this paper, we describe how we use a named entity disambiguation module to merge entities in a question answering system.
The question answering system uses a baseline passage retrieval component that extracts paragraphs from the Swedish version of
Wikipedia. The passages are indexed and ranked using the Lucene platform. Prior to the indexing, we carried out a recognition
and disambiguation of the named entities. We used the Stagger part-of-speech tagger to tag the documents and we implemented
a disambiguation module. We extracted and merged the answer candidates using their wikidata Q-number. This enables the
question-answering system to benefit from the synonymy facility of Wikipedia as... (More) - In this paper, we describe how we use a named entity disambiguation module to merge entities in a question answering system.
The question answering system uses a baseline passage retrieval component that extracts paragraphs from the Swedish version of
Wikipedia. The passages are indexed and ranked using the Lucene platform. Prior to the indexing, we carried out a recognition
and disambiguation of the named entities. We used the Stagger part-of-speech tagger to tag the documents and we implemented
a disambiguation module. We extracted and merged the answer candidates using their wikidata Q-number. This enables the
question-answering system to benefit from the synonymy facility of Wikipedia as well as an extended set of properties. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/5115023
- author
- Klang, Marcus
LU
and Nugues, Pierre
LU
- organization
- publishing date
- 2014
- 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
- a6b40f3b-420f-45d4-8975-b75cc3f2c679 (old id 5115023)
- alternative location
- http://www2.lingfil.uu.se/SLTC2014/abstracts/sltc2014_submission_10.pdf
- date added to LUP
- 2016-04-04 12:56:36
- date last changed
- 2025-04-04 14:30:31
@misc{a6b40f3b-420f-45d4-8975-b75cc3f2c679,
abstract = {{In this paper, we describe how we use a named entity disambiguation module to merge entities in a question answering system.<br/><br>
The question answering system uses a baseline passage retrieval component that extracts paragraphs from the Swedish version of<br/><br>
Wikipedia. The passages are indexed and ranked using the Lucene platform. Prior to the indexing, we carried out a recognition<br/><br>
and disambiguation of the named entities. We used the Stagger part-of-speech tagger to tag the documents and we implemented<br/><br>
a disambiguation module. We extracted and merged the answer candidates using their wikidata Q-number. This enables the<br/><br>
question-answering system to benefit from the synonymy facility of Wikipedia as well as an extended set of properties.}},
author = {{Klang, Marcus and Nugues, Pierre}},
language = {{eng}},
title = {{Named entity disambiguation in a question answering system.}},
url = {{http://www2.lingfil.uu.se/SLTC2014/abstracts/sltc2014_submission_10.pdf}},
year = {{2014}},
}