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X Demographics
Mendeley readers
| Title |
Modelling Speaker Attribution in Narrative Texts With Biased and Bias-Adjustable Neural Networks
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, February 2022
|
| DOI | 10.3389/frai.2021.725321 |
| Pubmed ID | |
| Authors |
Tillmann Dönicke, Hanna Varachkina, Anna Mareike Weimer, Luisa Gödeke, Florian Barth, Benjamin Gittel, Anke Holler, Caroline Sporleder |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 13% |
| India | 1 | 13% |
| Unknown | 6 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 1 | 25% |
| Professor > Associate Professor | 1 | 25% |
| Unknown | 2 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Linguistics | 1 | 25% |
| Business, Management and Accounting | 1 | 25% |
| Unknown | 2 | 50% |