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Published in 2018 at "Scientometrics"
DOI: 10.1007/s11192-018-2824-5
Abstract: Author name ambiguity in a digital library may affect the findings of research that mines authorship data of the library. This study evaluates author name disambiguation in DBLP, a widely used but insufficiently evaluated digital…
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Keywords:
author name;
disambiguation digital;
disambiguation;
name disambiguation ... See more keywords
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1
Published in 2018 at "Scientometrics"
DOI: 10.1007/s11192-018-2865-9
Abstract: In supervised machine learning for author name disambiguation, negative training data are often dominantly larger than positive training data. This paper examines how the ratios of negative to positive training data can affect the performance…
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Keywords:
name disambiguation;
machine learning;
training data;
training ... See more keywords
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1
Published in 2022 at "Scientometrics"
DOI: 10.1007/s11192-021-04229-x
Abstract: This study presents a feature enriched AND dataset to develop diverse and better performance achieving AND techniques, by utilizing AND features which have better discriminating abilities to solve this problem. Current AND datasets have limited…
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Keywords:
disambiguation empirical;
completing features;
author name;
empirical analysis ... See more keywords
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1
Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3031112
Abstract: Machine learning for author name disambiguation is usually conducted on the training and test subsets of labeled data created for a specific task. As a result, disambiguation models learned on heterogeneous labeled data are often…
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Keywords:
name disambiguation;
author name;
labeled data;
disambiguation ... See more keywords
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1
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3190088
Abstract: Author Name Disambiguation (AND) has emerged as a significant challenge in the bibliometric context with the growing volume of scientific literature. When citations written by different authors have the same names (polysemy or homonym names),…
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Keywords:
name;
author name;
name disambiguation;
toward new ... See more keywords
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Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2020.3011674
Abstract: Scholar name disambiguation remains a hard and unsolved problem, which brings various troubles for bibliography data analytics. Most existing methods handle name disambiguation separately that tackles one name at a time, and neglect the fact…
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Keywords:
disambiguation;
name;
collective approach;
scholar name ... See more keywords