期刊名称：Conference on European Chapter of the Association for Computational Linguistics (EACL)
出版年度：2006
卷号：2006
出版社：ACL Anthology
摘要：We propose an approach for extracting relations
between entities from biomedical
literature based solely on shallow linguistic
information. We use a combination of
kernel functions to integrate two different
information sources: (i) the whole sentence
where the relation appears, and (ii)
the local contexts around the interacting
entities. We performed experiments on extracting
gene and protein interactions from
two different data sets. The results show
that our approach outperforms most of the
previous methods based on syntactic and
semantic information.
