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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)
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Contribution to conference
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conference name
The Fifth Swedish Language Technology Conference (SLTC 2014)
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
2015-02-26 13:37:43
date last changed
2016-04-16 10:40:26
@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.},
  year         = {2014},
}