Named entity disambiguation in a question answering system.

Research output: Contribution to conferencePaper, not in proceedingpeer-review

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 well as an extended set of properties.
Original languageEnglish
Publication statusPublished - 2014
EventThe Fifth Swedish Language Technology Conference (SLTC 2014) - Uppsala, Sweden
Duration: 2014 Nov 132014 Nov 14

Conference

ConferenceThe Fifth Swedish Language Technology Conference (SLTC 2014)
Country/TerritorySweden
CityUppsala
Period2014/11/132014/11/14

Subject classification (UKÄ)

  • Computer Science

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