ECNU at 2016 eHealth Task 1: Handover information extraction

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

ECNU at 2016 eHealth Task 1: Handover information extraction

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

计算机科学与技术学院

Shanghai Key Laboratory of Multidimensional Information Processing
East China Normal University
Science and Technology Commission of Shanghai Municipality
Shanghai Digital Trade Co. Ltd

科研成果: 期刊稿件 › 会议文章 › 同行评审

3 引用（Scopus）

摘要

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.

源语言	英语
页（从-至）	147-156
页数	10
期刊	CEUR Workshop Proceedings
卷	1609
出版状态	已出版 - 2016
活动	2016 Working Notes of Conference and Labs of the Evaluation Forum, CLEF 2016 - Evora, 葡萄牙期限: 5 9月 2016 → 8 9月 2016

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引用此

@article{b3d8780a858a4d068784976ea627f4ee,

title = "ECNU at 2016 eHealth Task 1: Handover information extraction",

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.",

keywords = "Association Rule, Conditional Random Field, Information Extraction, MetaMap",

author = "Yang Song and Yun He and Hongyu Liu and Yueyao Wang and Qinmin Hu and Liang He and Guihua Luo",

year = "2016",

language = "英语",

volume = "1609",

pages = "147--156",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

publisher = "CEUR-WS",

note = "2016 Working Notes of Conference and Labs of the Evaluation Forum, CLEF 2016 ; Conference date: 05-09-2016 Through 08-09-2016",

}

TY - JOUR

T1 - ECNU at 2016 eHealth Task 1

T2 - 2016 Working Notes of Conference and Labs of the Evaluation Forum, CLEF 2016

AU - Song, Yang

AU - He, Yun

AU - Liu, Hongyu

AU - Wang, Yueyao

AU - Hu, Qinmin

AU - He, Liang

AU - Luo, Guihua

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - Association Rule

KW - Conditional Random Field

KW - Information Extraction

KW - MetaMap

UR - https://www.scopus.com/pages/publications/85019595314

M3 - 会议文章

AN - SCOPUS:85019595314

SN - 1613-0073

VL - 1609

SP - 147

EP - 156

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

Y2 - 5 September 2016 through 8 September 2016

ER -

ECNU at 2016 eHealth Task 1: Handover information extraction

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