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|Title:||Disambiguating author names using automatic relevance feedback||Authors:||Kang, I.-S.
Automatic Relevance Feedback
|Issue Date:||2011||Citation:||Kang, I.-S.,Na, S.-H. (2011). Disambiguating author names using automatic relevance feedback. Communications in Computer and Information Science 264 CCIS : 239-244. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-27210-3_30||Abstract:||Author disambiguation is to associate author-name instances with author identifiers corresponding to real-world authors. Bibliographic records, which normally contain author-name occurrences to be disambiguated, are not sufficient to provide author-resolving features. This study proposed a feedback-based method for author disambiguation to tackle the insufficiency of author representation. Our method is focused on enhancing author's topical representation by adding topically-related terms obtained from feedback documents. Experiments showed the positive effect of the method on author resolution by improving the performance. © 2011 Springer-Verlag.||Source Title:||Communications in Computer and Information Science||URI:||http://scholarbank.nus.edu.sg/handle/10635/39903||ISBN:||9783642272097||ISSN:||18650929||DOI:||10.1007/978-3-642-27210-3_30|
|Appears in Collections:||Staff Publications|
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