Research output per year
Research output per year
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.
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 language | English |
|---|---|
| Publication status | Published - 2014 |
| Event | The Fifth Swedish Language Technology Conference (SLTC 2014) - Uppsala, Sweden Duration: 2014 Nov 13 → 2014 Nov 14 |
Conference
| Conference | The Fifth Swedish Language Technology Conference (SLTC 2014) |
|---|---|
| Country/Territory | Sweden |
| City | Uppsala |
| Period | 2014/11/13 → 2014/11/14 |
Subject classification (UKÄ)
- Computer Sciences
Fingerprint
Dive into the research topics of 'Named entity disambiguation in a question answering system.'. Together they form a unique fingerprint.Research output
- 1 Doctoral Thesis (compilation)
-
Building Knowledge Graphs: Processing Infrastructure and Named Entity Linking
Klang, M., 2019 Sept 17, Ole Römers väg 3, Lund: Department of Computer Science, Lund University. 164 p.Research output: Thesis › Doctoral Thesis (compilation)
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