ECNU at 2016 eHealth Task 1: Handover information extraction

  • Yang Song
  • , Yun He
  • , Hongyu Liu
  • , Yueyao Wang
  • , Qinmin Hu
  • , Liang He
  • , Guihua Luo

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations

Abstract

The CLEF eHealth 2016 Task 1 is set to automatically assign pre-defined medical tag to each word in the patient case records. The dificulty of the task is that many classes have little training data. This paper presents our work on the 2016 CLEF eHealth Task 1. In particular, we propose an optimized Conditional Random Field algorithm to better fulfill the task. We also utilize the information extracted through association rules and MetaMap to boost the performance of our results. The evaluation results show our runs outperform the four oficial baselines in this dificulty task.

Original languageEnglish
Pages (from-to)147-156
Number of pages10
JournalCEUR Workshop Proceedings
Volume1609
StatePublished - 2016
Event2016 Working Notes of Conference and Labs of the Evaluation Forum, CLEF 2016 - Evora, Portugal
Duration: 5 Sep 20168 Sep 2016

Keywords

  • Association Rule
  • Conditional Random Field
  • Information Extraction
  • MetaMap

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