Abstract
In this study, we propose a method of categorizing relations between a headword and its aliases using Korean Wikipedia data. We propose orthographically similar types and orthographically different types. Orthographically similar types are divided into 5 types: Word space, Pronunciation difference, Omission, Abbreviation, and Word order change while different types are also classified into 4 types: Foreign word, Acronym, Paraphrased expression and Call name. We show examples to verify the proposed method.
Original language | English |
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Pages (from-to) | 691-692 |
Number of pages | 2 |
Journal | Proceedings of the Association for Information Science and Technology |
Volume | 56 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2019 Jan |
Bibliographical note
Publisher Copyright:Author(s) retain copyright, but ASIS&T receives an exclusive publication license
All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Library and Information Sciences