A semi-supervised learning framework for biomedical event extraction based on hidden topics-Reference-Cited by-同舟云学术

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A semi-supervised learning framework for biomedical event extraction based on hidden topics

Published:2015-05 Issue:1 Volume:64 Page:51-58
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Zhou Deyu,Zhong Dayou

Funder

National Science Foundation of China

Scientific Research Foundation for the Returned Overseas Chinese Scholars

State Education Ministry and the Cultivation Program for Young Faculties of Southeast University

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference22 articles.

1. Overview of bionlp’09 shared task on event extraction;Kim,2009

2. The genia event and protein coreference tasks of the BioNLP shared task 2011;Kim;BMC Bioinform,2012

3. Overview of bionlp shared task 2013;Nédellec,2013

4. Towards event extraction from full texts on infectious diseases;Pyysalo,2010

5. Extracting biological events from text using simple syntactic patterns;Bui,2011

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