BioCause: Annotating and analysing causality in the biomedical domain.

ABSTRACT:

Background

Biomedical corpora annotated with event-level information represent an important resource for domain-specific information extraction (IE) systems. However, bio-event annotation alone cannot cater for all the needs of biologists. Unlike work on relation and event extraction, most of which focusses on specific events and named entities, we aim to build a comprehensive resource, covering all statements of causal association present in discourse. Causality lies at the heart of biomedical knowledge, such as diagnosis, pathology or systems biology, and, thus, automatic causality recognition can greatly reduce the human workload by suggesting possible causal connections and aiding in the curation of pathway models. A biomedical text corpus annotated with such relations is, henc

SUBMITTER: Mihaila C 

PROVIDER: S-EPMC3621543 | biostudies-literature | 2013 Jan

REPOSITORIES: biostudies-literature