Named entity disambiguation in a question answering system.

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Sammanfattning

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.
Originalspråkengelska
StatusPublished - 2014
EvenemangThe Fifth Swedish Language Technology Conference (SLTC 2014) - Uppsala, Sverige
Varaktighet: 2014 nov. 132014 nov. 14

Konferens

KonferensThe Fifth Swedish Language Technology Conference (SLTC 2014)
Land/TerritoriumSverige
OrtUppsala
Period2014/11/132014/11/14

Ämnesklassifikation (UKÄ)

  • Datavetenskap (datalogi)

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