Title |
Wide coverage biomedical event extraction using multiple partially overlapping corpora
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Published in |
BMC Bioinformatics, June 2013
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DOI | 10.1186/1471-2105-14-175 |
Pubmed ID | |
Authors |
Makoto Miwa, Sampo Pyysalo, Tomoko Ohta, Sophia Ananiadou |
Abstract |
Biomedical events are key to understanding physiological processes and disease, and wide coverage extraction is required for comprehensive automatic analysis of statements describing biomedical systems in the literature. In turn, the training and evaluation of extraction methods requires manually annotated corpora. However, as manual annotation is time-consuming and expensive, any single event-annotated corpus can only cover a limited number of semantic types. Although combined use of several such corpora could potentially allow an extraction system to achieve broad semantic coverage, there has been little research into learning from multiple corpora with partially overlapping semantic annotation scopes. |
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Norway | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
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Colombia | 1 | 3% |
Switzerland | 1 | 3% |
Netherlands | 1 | 3% |
France | 1 | 3% |
China | 1 | 3% |
Spain | 1 | 3% |
United States | 1 | 3% |
Unknown | 32 | 82% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 15 | 38% |
Student > Ph. D. Student | 7 | 18% |
Student > Doctoral Student | 3 | 8% |
Student > Master | 3 | 8% |
Student > Postgraduate | 3 | 8% |
Other | 4 | 10% |
Unknown | 4 | 10% |
Readers by discipline | Count | As % |
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Computer Science | 22 | 56% |
Agricultural and Biological Sciences | 4 | 10% |
Medicine and Dentistry | 2 | 5% |
Linguistics | 2 | 5% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
Other | 2 | 5% |
Unknown | 6 | 15% |