Ontology-Aware Clinical Abstractive Summarization

@article{MacAvaney2019OntologyAwareCA,
  title={Ontology-Aware Clinical Abstractive Summarization},
  author={Sean MacAvaney and Sajad Sotudeh and Arman Cohan and Nazli Goharian and Ish A. Talati and Ross W. Filice},
  journal={Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval},
  year={2019}
}
  • Sean MacAvaney, Sajad Sotudeh, +3 authors Ross W. Filice
  • Published in SIGIR'19 2019
  • Computer Science
  • Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval
  • Automatically generating accurate summaries from clinical reports could save a clinician's time, improve summary coverage, and reduce errors. We propose a sequence-to-sequence abstractive summarization model augmented with domain-specific ontological information to enhance content selection and summary generation. We apply our method to a dataset of radiology reports and show that it significantly outperforms the current state-of-the-art on this task in terms of rouge scores. Extensive human… CONTINUE READING

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