Journal article

Coreference annotation and resolution in the Colorado Richly Annotated Full Text (CRAFT) corpus of biomedical journal articles

K Bretonnel Cohen, Arrick Lanfranchi, Miji Joo-Young Choi, Michael Bada, William A Baumgartner, Natalya Panteleyeva, Karin Verspoor, Martha Palmer, Lawrence E Hunter

BMC BIOINFORMATICS | BMC | Published : 2017


BACKGROUND: Coreference resolution is the task of finding strings in text that have the same referent as other strings. Failures of coreference resolution are a common cause of false negatives in information extraction from the scientific literature. In order to better understand the nature of the phenomenon of coreference in biomedical publications and to increase performance on the task, we annotated the Colorado Richly Annotated Full Text (CRAFT) corpus with coreference relations. RESULTS: The corpus was manually annotated with coreference relations, including identity and appositives for all coreferring base noun phrases. The OntoNotes annotation guidelines, with minor adaptations, were ..

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Awarded by National Institutes of Health

Awarded by Australian Research Council

Awarded by DARPA "Big Mechanism" program


Funding Acknowledgements

The work here was supported by National Institutes of Health grants G08 LM009639, 3G08 LM009639-02S1 (ARRA), 2R01LM009254, and R01LM008111 to Lawrence E. Hunter. KV receives funding from the Australian Research Council through a Discovery Project grant, DP150101550. MC receives support from the Australian Federal and Victorian State governments and the Australian Research Council through the ICT Centre of Excellence program, National ICT Australia (NICTA). This work was supported in part by the DARPA "Big Mechanism" program, BAA 14-14, under contract W911NF-14-C-0109 with the Army Research Office (ARO) Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the position or policy of the Department of Defense or the U.S. Government.