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This article describes a new unsupervised method for automatic keyphrase extraction from scientific documents which yields a performance on a par with human indexers. The method is based on identifying references cited in the document to be indexed and, using the keyphrases assigned to those references, for generating a set of high-likelihood keyphrases for the document. We have evaluated the performance of the proposed method by using it to automatically index a third-party testset of research documents. Reported experimental results show that the performance of our method, measured in terms of consistency with human indexers, is competitive with that achieved by state-of-the-art supervised methods. <\/jats:p>","DOI":"10.1177\/0165551510388080","type":"journal-article","created":{"date-parts":[[2010,11,6]],"date-time":"2010-11-06T00:52:22Z","timestamp":1289004742000},"page":"798-811","source":"Crossref","is-referenced-by-count":13,"title":["A citation-based approach to automatic topical indexing of scientific literature"],"prefix":"10.1177","volume":"36","author":[{"given":"Abdulhussain E.","family":"Mahdi","sequence":"first","affiliation":[{"name":"Department of Electronic and Computer Engineering, University of Limerick, Limerick, Republic of Ireland,"}]},{"given":"Arash","family":"Joorabchi","sequence":"additional","affiliation":[{"name":"Department of Electronic and Computer Engineering, University of Limerick, Limerick, Republic of Ireland"}]}],"member":"179","published-online":{"date-parts":[[2010,11,5]]},"reference":[{"doi-asserted-by":"publisher","key":"atypb1","DOI":"10.1016\/j.molcel.2006.02.012"},{"volume-title":"Proceedings of the Fourth ACM Conference on Digital Libraries","author":"I.H. 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