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Mendeley readers
Chapter title |
Aligning Knowledge Base and Document Embedding Models Using Regularized Multi-Task Learning
|
---|---|
Chapter number | 2 |
Book title |
The Semantic Web – ISWC 2018
|
Published by |
Springer, Cham, October 2018
|
DOI | 10.1007/978-3-030-00671-6_2 |
Book ISBNs |
978-3-03-000670-9, 978-3-03-000671-6
|
Authors |
Matthias Baumgartner, Wen Zhang, Bibek Paudel, Daniele Dell’Aglio, Huajun Chen, Abraham Bernstein, Baumgartner, Matthias, Zhang, Wen, Paudel, Bibek, Dell’Aglio, Daniele, Chen, Huajun, Bernstein, Abraham |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 24 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 21% |
Student > Ph. D. Student | 3 | 13% |
Student > Master | 3 | 13% |
Student > Doctoral Student | 2 | 8% |
Other | 1 | 4% |
Other | 1 | 4% |
Unknown | 9 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 13 | 54% |
Economics, Econometrics and Finance | 1 | 4% |
Chemistry | 1 | 4% |
Unknown | 9 | 38% |