Ethnicity‐based name partitioning for author name disambiguation using supervised machine learning
| Autor: | Jenna Kim, Jinseok Kim, Jason Owen-Smith |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Information Systems and Management
ComputingMilieux_THECOMPUTINGPROFESSION Computer Networks and Communications 05 social sciences Ethnic group Library and Information Sciences 050905 science studies GeneralLiterature_MISCELLANEOUS Linguistics ComputingMilieux_COMPUTERSANDEDUCATION ComputingMilieux_COMPUTERSANDSOCIETY Sociology 0509 other social sciences 050904 information & library sciences Author name Research Articles Information Systems Research Article |
| Zdroj: | Journal of the Association for Information Science and Technology |
| ISSN: | 2330-1643 2330-1635 |
| Popis: | In several author name disambiguation studies, some ethnic name groups such as East Asian names are reported to be more difficult to disambiguate than others. This implies that disambiguation approaches might be improved if ethnic name groups are distinguished before disambiguation. We explore the potential of ethnic name partitioning by comparing performance of four machine learning algorithms trained and tested on the entire data or specifically on individual name groups. Results show that ethnicity‐based name partitioning can substantially improve disambiguation performance because the individual models are better suited for their respective name group. The improvements occur across all ethnic name groups with different magnitudes. Performance gains in predicting matched name pairs outweigh losses in predicting nonmatched pairs. Feature (e.g., coauthor name) similarities of name pairs vary across ethnic name groups. Such differences may enable the development of ethnicity‐specific feature weights to improve prediction for specific ethic name categories. These findings are observed for three labeled data with a natural distribution of problem sizes as well as one in which all ethnic name groups are controlled for the same sizes of ambiguous names. This study is expected to motive scholars to group author names based on ethnicity prior to disambiguation. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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