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X Demographics
Mendeley readers
Title |
The unreasonable effectiveness of large language models in zero-shot semantic annotation of legal texts
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Published in |
Frontiers in Artificial Intelligence, November 2023
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DOI | 10.3389/frai.2023.1279794 |
Pubmed ID | |
Authors |
Jaromir Savelka, Kevin D. Ashley |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor > Associate Professor | 3 | 17% |
Student > Master | 2 | 11% |
Student > Ph. D. Student | 2 | 11% |
Lecturer | 1 | 6% |
Student > Doctoral Student | 1 | 6% |
Other | 2 | 11% |
Unknown | 7 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 28% |
Engineering | 3 | 17% |
Neuroscience | 1 | 6% |
Environmental Science | 1 | 6% |
Unknown | 8 | 44% |