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Comparing Transformer-based NER approaches for analysing textual medical diagnoses
2021
Conference and Labs of the Evaluation Forum
The automated analysis of medical documents has grown in research interest in recent years as a consequence of the social relevance of the thematic and the difficulties often encountered with short and very specific documents. In particular, this fervent area of research has stimulated the development of several techniques of automatic document classification, question answering, and name entity recognition (NER). Nevertheless, many open issues must be addressed to obtain results that are
dblp:conf/clef/PolignanoGS21
fatcat:dftxqeg37fc57mntppilu5pw6y