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Mendeley readers
| Title |
Monitoring named entity recognition: the League Table
|
|---|---|
| Published in |
Journal of Biomedical Semantics, September 2013
|
| DOI | 10.1186/2041-1480-4-19 |
| Pubmed ID | |
| Authors |
Dietrich Rebholz-Schuhmann, Senay Kafkas, Jee-Hyub Kim, Antonio Jimeno Yepes, Ian Lewin |
| Abstract |
Named entity recognition (NER) is an essential step in automatic text processing pipelines. A number of solutions have been presented and evaluated against gold standard corpora (GSC). The benchmarking against GSCs is crucial, but left to the individual researcher. Herewith we present a League Table web site, which benchmarks NER solutions against selected public GSCs, maintains a ranked list and archives the annotated corpus for future comparisons. |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 8% |
| Netherlands | 1 | 8% |
| Portugal | 1 | 8% |
| Unknown | 9 | 75% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 33% |
| Student > Bachelor | 2 | 17% |
| Student > Master | 2 | 17% |
| Lecturer | 1 | 8% |
| Other | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 2 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 42% |
| Computer Science | 5 | 42% |
| Business, Management and Accounting | 1 | 8% |
| Unknown | 1 | 8% |