title: Improving the inter-corpora compatibility for protein annotations.
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.
authors.affiliation: Department of Computer Science, University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-0033, Japan. wangyue@is.s.u-tokyo.ac.jp
authors.forename: Yue
authors.initials: Y
authors.lastname: Wang
authors.forename: Jin-Dong
authors.initials: JD
authors.lastname: Kim
authors.forename: Rune
authors.initials: R
authors.lastname: Saetre
authors.forename: Sampo
authors.initials: S
authors.lastname: Pyysalo
authors.forename: Tomoko
authors.initials: T
authors.lastname: Ohta
authors.forename: Jun'ichi
authors.initials: J
authors.lastname: Tsujii
mesh_terms: D019295:Computational Biology; D057225:Data Mining; D011506:Proteins; D039781:PubMed; D009626:Terminology as Topic
chemical_list: D011506:Proteins