Fast Approximate String Search for Wikification

Szymon Olewniczak; Julian Szymański

doi:10.1007/978-3-030-77967-2_29

Fast Approximate String Search for Wikification

Abstract

The paper presents a novel method for fast approximate string search based on neural distance metrics embeddings. Our research is focused primarily on applying the proposed method for entity retrieval in the Wikification process, which is similar to edit distance-based similarity search on the typical dictionary. The proposed method has been compared with symmetric delete spelling correction algorithm and proven to be more efficient for longer stings and higher distance values, which is a typical case in the Wikification task.

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Publication version: Accepted or Published Version
License: Copyright (2021 Springer Nature Switzerland AG)

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Category:: Conference activity
Type:: publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Title of issue:: Computational Science – ICCS 2021 strony 347 - 361
Language:: English
Publication year:: 2021
Bibliographic description:: Olewniczak S., Szymański J.: Fast Approximate String Search for Wikification// Computational Science – ICCS 2021/ : , 2021, s.347-361
DOI:: Digital Object Identifier (open in new tab) 10.1007/978-3-030-77967-2_29
Verified by:: Gdańsk University of Technology