Name
Abstract | ||
|---|---|---|
Although there are several corpora with protein annotation, incompatibility between the annotations in different corpora remains a problem that hinders the progress of automatic recognition of protein names in biomedical literature. Here, we report on our efforts to find a solution to the incompatibility issue, and to improve the compatibility between two representative protein-annotated corpora: the GENIA corpus and the GENETAG corpus. In a comparative study, we improve our insight into the two corpora, and a series of experimental results show that most of the incompatibility can be removed. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1142/S0219720010004999 | J. Bioinformatics and Computational Biology |
Keywords | Field | DocType |
corpus | Information retrieval,Compatibility (mechanics),Biology,Artificial intelligence,Natural language processing,Protein Annotation,Bioinformatics,Named-entity recognition | Journal |
Volume | Issue | ISSN |
8 | 5 | 1757-6334 |
Citations | PageRank | References |
4 | 0.48 | 15 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yue Wang | 1 | 4 | 0.48 |
| Jin-Dong Kim | 2 | 1705 | 92.21 |
| Rune Sætre | 3 | 560 | 28.49 |
| Sampo Pyysalo | 4 | 1941 | 100.14 |
| Tomoko Ohta | 5 | 1794 | 93.54 |
| Jun-ichi Tsujii | 6 | 1973 | 219.85 |