Paper: Exploiting Shallow Linguistic Information For Relation Extraction From Biomedical Literature

ACL ID E06-1051
Title Exploiting Shallow Linguistic Information For Relation Extraction From Biomedical Literature
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2006
Authors

We propose an approach for extracting re- lations between entities from biomedical literature based solely on shallow linguis- tic information. We use a combination of kernel functions to integrate two different information sources: (i) the whole sen- tence where the relation appears, and (ii) the local contexts around the interacting entities. We performed experiments on ex- tracting 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.