A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is
This paper presents a new approach that exploits coreference information to extract event-argument (E-A) relations from biomedical documents. This approach has two advantages: (1) it can extract a large number of valuable E-A relations based on the concept of salience in discourse (Grosz et al., 1995) ; (2) it enables us to identify E-A relations over sentence boundaries (cross-links) using transitivity involving coreference relations. We propose two coreference-based models: a pipeline baseddoi:10.1186/2041-1480-2-s5-s6 pmid:22166257 pmcid:PMC3239306 fatcat:yrmsj5w44ve4fbykojlcaftuaq