Abstract | ||
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•Performance of existing coreference resolution systems for the biomedical domain is analysed.•A framework to categorise syntactic and semantic characteristics of coreference relations is proposed.•The framework has benefits for error analysis of performance of existing coreference resolution systems in detail.•The detailed analysis provides insights for further development of a novel coreference resolution system. |
Year | DOI | Venue |
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2016 | 10.1016/j.jbi.2016.02.015 | Journal of Biomedical Informatics |
Keywords | Field | DocType |
Coreference resolution,Natural language processing,Text mining,Error analysis | Data mining,Expression (mathematics),Computer science,Categorical variable,Natural language processing,Artificial intelligence,Syntax,Coreference,Information retrieval,Information extraction,Software portability,Health informatics,Semantics | Journal |
Volume | ISSN | Citations |
60 | 1532-0464 | 4 |
PageRank | References | Authors |
0.53 | 31 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Miji Choi | 1 | 77 | 3.39 |
Justin Zobel | 2 | 6882 | 880.46 |
Karin Verspoor | 3 | 993 | 78.54 |