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Kang, I.-S.; Na, S.-H.; Lee, S.; Jung, H.; Kim, P.; Sung, W.-K.; Lee, J.-H.: On co-authorship for author disambiguation (2009)
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- Abstract
- Author name disambiguation deals with clustering the same-name authors into different individuals. To attack the problem, many studies have employed a variety of disambiguation features such as coauthors, titles of papers/publications, topics of articles, emails/affiliations, etc. Among these, co-authorship is the most easily accessible and influential, since inter-person acquaintances represented by co-authorship could discriminate the identities of authors more clearly than other features. This study attempts to explore the net effects of co-authorship on author clustering in bibliographic data. First, to handle the shortage of explicit coauthors listed in known citations, a web-assisted technique of acquiring implicit coauthors of the target author to be disambiguated is proposed. Then, a coauthor disambiguation hypothesis that the identity of an author can be determined by his/her coauthors is examined and confirmed through a variety of author disambiguation experiments.
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Na, S.-H.; Kang, I.-S.; Roh, J.-E.; Lee, J.-H.: ¬An empirical study of query expansion and cluster-based retrieval in language modeling approach (2007)
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Kang, I.-S.; Na, S.-H.; Kim, J.; Lee, J.-H.: Cluster-based patent retrieval (2007)
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Na, S.-H.; Kang, I.-S.; Lee, J.-H.: Adaptive document clustering based on query-based similarity (2007)
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Na, S.-H.; Kang, I.-S.; Lee, J.-H.: Parsimonious translation models for information retrieval (2007)
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