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X Demographics
Mendeley readers
| Chapter title |
Using Linguistic Information and Machine Learning Techniques to Identify Entities from Juridical Documents
|
|---|---|
| Chapter number | 3 |
| Book title |
Semantic Processing of Legal Texts
|
| Published by |
Springer, Berlin, Heidelberg, January 2010
|
| DOI | 10.1007/978-3-642-12837-0_3 |
| Book ISBNs |
978-3-64-212836-3, 978-3-64-212837-0
|
| Authors |
Paulo Quaresma, Teresa Gonçalves, Quaresma, Paulo, Gonçalves, Teresa |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 2% |
| Russia | 1 | 2% |
| Portugal | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 37 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 24% |
| Student > Ph. D. Student | 6 | 15% |
| Student > Bachelor | 6 | 15% |
| Student > Doctoral Student | 5 | 12% |
| Researcher | 3 | 7% |
| Other | 6 | 15% |
| Unknown | 5 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 24 | 59% |
| Engineering | 3 | 7% |
| Linguistics | 3 | 7% |
| Business, Management and Accounting | 2 | 5% |
| Decision Sciences | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 7 | 17% |