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Abstract
The paper reviews methods on automatic annotation of texts with Wikipedia entries. The process, called Wikification aims at building references between concepts identified in the text and Wikipedia articles. Wikification finds many applications, especially in text representation, where it enables one to capture the semantic similarity of the documents. Also, it can be considered as automatic tagging of the text. We describe typical approaches to Wikification, and identify their advantages and disadvantages. The main problem for wide usage of the Wikification method is the lack of open-sourced frameworks that enable researchers to work cooperatively on that problem. Also problematic is the lack of a unified platform for evaluation of the results proposed by different approaches.
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Authors (2)
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Maciej Naruszewicz
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Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
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AI COMMUNICATIONS
no. 32,
pages 235 - 251,
ISSN: 0921-7126 - Language:
- English
- Publication year:
- 2019
- Bibliographic description:
- Szymański J., Naruszewicz M.: Review on Wikification methods// AI COMMUNICATIONS -Vol. 32,iss. 3 (2019), s.235-251
- DOI:
- Digital Object Identifier (open in new tab) 10.3233/aic-190581
- Verified by:
- Gdańsk University of Technology
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