Paper: Automatic extraction of data deposition statements: where do the research results go?

ACL ID W11-0213
Title Automatic extraction of data deposition statements: where do the research results go?
Venue Workshop on Biomedical Natural Language Processing
Session
Year 2011
Authors

Research in the biomedical domain can have a major impact through open sharing of data produced. In this study, we use machine learn- ing for the automatic identification of data deposition sentences in research articles. Arti- cles containing deposition sentences are cor- rectly identified with 73% f-measure. These results show the potential impact of our meth- od for literature curation. 1 Background Research in the biomedical domain aims at further- ing the knowledge of biological processes and im- proving human health. Major contributions towards this goal can be achieved by sharing the results of research efforts with the community, in- cluding datasets produced in the course of the re- search work. While such sharing behavior is encouraged by funding agencies and scientifi...