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Mendeley readers
Chapter title |
A Lexical Alignment Model for Probabilistic Textual Entailment
|
---|---|
Chapter number | 16 |
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_16 |
Book ISBNs |
978-3-54-033427-9, 978-3-54-033428-6
|
Authors |
Oren Glickman, Ido Dagan, Moshe Koppel, Glickman, Oren, Dagan, Ido, Koppel, Moshe |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 5% |
Netherlands | 1 | 3% |
United States | 1 | 3% |
Ireland | 1 | 3% |
Unknown | 33 | 87% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 13% |
Researcher | 3 | 8% |
Student > Doctoral Student | 1 | 3% |
Student > Master | 1 | 3% |
Unknown | 28 | 74% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 21% |
Linguistics | 1 | 3% |
Agricultural and Biological Sciences | 1 | 3% |
Unknown | 28 | 74% |