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X Demographics
Mendeley readers
| Title |
Shapley Idioms: Analysing BERT Sentence Embeddings for General Idiom Token Identification
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, March 2022
|
| DOI | 10.3389/frai.2022.813967 |
| Pubmed ID | |
| Authors |
Vasudevan Nedumpozhimana, Filip Klubička, John D. Kelleher |
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 % |
|---|---|---|
| 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 1 | 13% |
| Lecturer | 1 | 13% |
| Student > Bachelor | 1 | 13% |
| Professor | 1 | 13% |
| Student > Ph. D. Student | 1 | 13% |
| Other | 0 | 0% |
| Unknown | 3 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 38% |
| Business, Management and Accounting | 1 | 13% |
| Physics and Astronomy | 1 | 13% |
| Unknown | 3 | 38% |