arXiv Open Access 2018

Homonym Detection in Curated Bibliographies: Learning from dblp's Experience (full version)

Marcel R. Ackermann Florian Reitz

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Abstrak

Identifying (and fixing) homonymous and synonymous author profiles is one of the major tasks of curating personalized bibliographic metadata repositories like the dblp computer science bibliography. In this paper, we present and evaluate a machine learning approach to identify homonymous author bibliographies using a simple multilayer perceptron setup. We train our model on a novel gold-standard data set derived from the past years of active, manual curation at the dblp computer science bibliography.

Topik & Kata Kunci

cs.DL cs.LG

Penulis (2)

Marcel R. Ackermann

Florian Reitz

Format Sitasi

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Ackermann, M.R., Reitz, F. (2018). Homonym Detection in Curated Bibliographies: Learning from dblp's Experience (full version). https://arxiv.org/abs/1806.06017

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Informasi Jurnal

Tahun Terbit: 2018
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓