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Mendeley readers
Chapter title |
The PASCAL Recognising Textual Entailment Challenge
|
---|---|
Chapter number | 9 |
Book title |
Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment
|
Published by |
Springer, Berlin, Heidelberg, January 2006
|
DOI | 10.1007/11736790_9 |
Book ISBNs |
978-3-54-033427-9, 978-3-54-033428-6
|
Authors |
Ido Dagan, Oren Glickman, Bernardo Magnini, Dagan, Ido, Glickman, Oren, Magnini, Bernardo |
Mendeley readers
The data shown below were compiled from readership statistics for 306 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 5 | 2% |
United States | 4 | 1% |
Germany | 2 | <1% |
France | 2 | <1% |
Spain | 2 | <1% |
Norway | 1 | <1% |
Italy | 1 | <1% |
Australia | 1 | <1% |
Portugal | 1 | <1% |
Other | 2 | <1% |
Unknown | 285 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 73 | 24% |
Student > Master | 55 | 18% |
Researcher | 41 | 13% |
Student > Bachelor | 20 | 7% |
Professor | 12 | 4% |
Other | 54 | 18% |
Unknown | 51 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 182 | 59% |
Linguistics | 22 | 7% |
Engineering | 13 | 4% |
Mathematics | 4 | 1% |
Medicine and Dentistry | 3 | <1% |
Other | 21 | 7% |
Unknown | 61 | 20% |