Abstract
In this study, we made some heuristic rules related to the boundary of protein names for automated extraction of protein names from biomedical literatures. The automated extraction of protein names was carried out based on Support Vector Machine (SVM). From the analysis of the results, we found whether some words of modifier words set were included or not as part of protein names. It is critical whether the modifier words set is or not included in a protein name. Adapting some heuristic rules to the corpus, the F-score was improved about 1.3% (from 76.10% to 77.41%) compared with the case without adapting proposed rules.
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Mitsumori, T., Fation, S., Murata, M., Doi, K., Doi, H. (2004). Boundary Correction of Protein Names Adapting Heuristic Rules. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2004. Lecture Notes in Computer Science, vol 2945. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24630-5_21
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DOI: https://doi.org/10.1007/978-3-540-24630-5_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-21006-1
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