Coreference based event-argument relation extraction on biomedical text

Katsumasa Yoshikawa, Sebastian Riedel, Tsutomu Hirao, Masayuki Asahara, Yuji Matsumoto
2011 Journal of Biomedical Semantics  
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 based
more » ... Support Vector Machine (SVM) classifiers, and a joint Markov Logic Network (MLN). We show the effectiveness of these models on a biomedical event corpus. The both models outperform the systems without coreference information. When compared with the two models, joint MLN outperforms pipeline SVM with gold coreference information.
doi:10.1186/2041-1480-2-s5-s6 pmid:22166257 pmcid:PMC3239306 fatcat:yrmsj5w44ve4fbykojlcaftuaq