A categorical analysis of coreference resolution errors in biomedical texts

M Choi; J Zobel; K Verspoor

Journal article

A categorical analysis of coreference resolution errors in biomedical texts

M Choi, J Zobel, K Verspoor

Journal of Biomedical Informatics | Published : 2016

DOI: 10.1016/j.jbi.2016.02.015

Abstract

Background: Coreference resolution is an essential task in information extraction from the published biomedical literature. It supports the discovery of complex information by linking referring expressions such as pronouns and appositives to their referents, which are typically entities that play a central role in biomedical events. Correctly establishing these links allows detailed understanding of all the participants in events, and connecting events together through their shared participants. Results: As an initial step towards the development of a novel coreference resolution system for the biomedical domain, we have categorised the characteristics of coreference relations by type of ana..

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University of Melbourne Researchers

Justin Zobel Author

Karin Verspoor Author

Related Projects (1)

Natural language processing for automated validation of protein databases

The project aims to use natural language processing and information retrieval to reconcile and improve sources of biological information. Bi..

Grants

Awarded by National ICT Australia

Funding Acknowledgements

We thank Riza Batista-Navarro and Sophia Ananiadou for providing the output of the Miwa et al. (2012) coreference resolution system. This work was supported by the Australian Federal and Victorian State governments and the Australian Research Council through the ICT Centre of Excellence program, National ICT Australia (NICTA), through a scholarship to Miji Choi. The project also receives funding from the Australian Research Council through a Discovery Project Grant, DP150101550.