Multi-task learning for few-shot biomedical relation extraction

HIGHLIGHTS

  • who: Vincenzo Moscato from the Department of Electrical and Information Technology, University of Naples Federico II, Via Claudio, Naples, Italy have published the article: Multi-task learning for few-shot biomedical relation extraction, in the Journal: (JOURNAL)
  • what: The authors propose a framework built upon a state-of-the-art multi-task method (i.e. MT-DNN) that leverages different publicly available biomedical datasets to enhance relation extraction performance. In the experiments the authors assess the impact of incorporating biomedical datasets in a multi-task learning setting and demonstrate that it consistently outperforms state-of . . .

     

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