Review on Wikification methods

Article type: Research Article

Authors: Szymański, Julian^{; *} | Naruszewicz, Maciej

Affiliations: Department of Computer Architecture, Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Poland. E-mail: [email protected]

Correspondence: [*] Corresponding author. E-mail: [email protected].

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.

Keywords: Wikipedia, Wikification, name entity recognition, disambiguation, concepts identification

DOI: 10.3233/AIC-190581

Journal: AI Communications, vol. 32, no. 3, pp. 235-251, 2019