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A study for categorizing relations between headword and aliases
Author(s) -
Kim Jiyoun,
Koo Youngeun,
Zhu Yongjun
Publication year - 2019
Publication title -
proceedings of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.193
H-Index - 14
ISSN - 2373-9231
DOI - 10.1002/pra2.136
Subject(s) - computer science , pronunciation , natural language processing , word (group theory) , artificial intelligence , acronym , space (punctuation) , linguistics , philosophy , operating system
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.