Publication: Assessment of NER solutions against the first and second CALBC Silver Standard Corpus
Assessment of NER solutions against the first and second CALBC Silver Standard Corpus
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Rebholz-Schuhmann, D., Jimeno, A., Li, C., Kafkas, S., Lewin, I., Kang, N., Corbett, P., Milward, D., Buyko, E., Beisswanger, E., Hornbostel, K., Kouznetsov, A., Witte, R., Laurila, J., Baker, C., Kuo, C., Clematide, S., Rinaldi, F., Farkas, R., … Hahn, U. (2011). Assessment of NER solutions against the first and second CALBC Silver Standard Corpus. Journal of Biomedical Semantics, 2, S11. https://doi.org/10.1186/2041-1480-2-S5-S11
Abstract
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Background Competitions in text mining have been used to measure the performance of automatic text processing solutions against a manually annotated gold standard corpus (GSC). The preparation of the GSC is time-consuming and costly and the final corpus consists at the most of a few thousand documents annotated with a limited set of semantic groups. To overcome these shortcomings, the CALBC project partners (PPs) have produced a large-scale annotated biomedical corpus with four different semantic groups through the harmonisation of an
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- Rebholz-Schuhmann, D
- Li, C
- Kafkas, S
- Lewin, I
- Kang, N
- Corbett, P
- Milward, D
- Buyko, E
- Beisswanger, E
- Hornbostel, K
- Kouznetsov, A
- Witte, R
- Rinaldi, Fabio
- Farkas, R
- Móra, G
- Hara, K
- Rautschka, M
- Wei, Q
- Collier, N
- Lavelli, A
- Berlanga, R
- Morante, R
- Van Asch, V
- Daelemans, W
- van Mulligen, E
- Kors, J
- Hahn, U
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Rebholz-Schuhmann, D., Jimeno, A., Li, C., Kafkas, S., Lewin, I., Kang, N., Corbett, P., Milward, D., Buyko, E., Beisswanger, E., Hornbostel, K., Kouznetsov, A., Witte, R., Laurila, J., Baker, C., Kuo, C., Clematide, S., Rinaldi, F., Farkas, R., … Hahn, U. (2011). Assessment of NER solutions against the first and second CALBC Silver Standard Corpus. Journal of Biomedical Semantics, 2, S11. https://doi.org/10.1186/2041-1480-2-S5-S11
