Incorporating Dictionary Features into Conditional Random Fields for Gene/Protein Named Entity Recognition
Biomedical Named Entity Recognition (BioNER) is an important preliminary step for biomedical text mining. Previous researchers built dictionaries of gene/protein names from online databases and incorporated them into machine learning models as features, b
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Subseries of Lecture Notes in Computer Science
4819
Takashi Washio Zhi-Hua Zhou Joshua Zhexue Huang Xiaohua Hu Jinyan Li Chao Xie Jieyue He Deqing Zou Kuan-Ching Li Mário M. Freire (Eds.)
Emerging Technologies in Knowledge Discovery and Data Mining PAKDD 2007 International Workshops Nanjing, China, May 22, 2007 Revised Selected Papers
13
Series Editors Jaime G. Carbonell, Carnegie Mellon University, Pittsburgh, PA, USA Jörg Siekmann, University of Saarland, Saarbrücken, Germany Volume Editors Takashi Washio, Osaka University, Japan ([email protected]) Zhi-Hua Zhou, Nanjing University, China ([email protected]) Joshua Zhexue Huang, The University of Hong Kong, China ([email protected]) Xiaohua Hu, Drexel University, USA ([email protected]) Jinyan Li, Nanyang Technological University, Singapore ([email protected]) Chao Xie, Georgia State University, USA ([email protected]) Jieyue He, Southeast University, China ([email protected]) Deqing Zou, Huazhong University of Science and Technology, China ([email protected]) Kuan-Ching Li, Providence University, Taiwan ([email protected]) Mário M. Freire, University of Beira Interior, Portugal ([email protected]) Library of Congress Control Number: 2007941074 CR Subject Classification (1998): I.2, H.2.7-8, H.3, H.5.1, G.3, J.3 LNCS Sublibrary: SL 7 – Artificial Intelligence ISSN ISBN-10 ISBN-13
0302-9743 3-540-77016-X Springer Berlin Heidelberg New York 978-3-540-77016-9 Springer Berlin Heidelberg New York
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Preface
The techniques of knowledge discovery and data mining (KDD) have rapidly developed along the significant progress of the computer and its network technologies in the last two decades. The attention and the number of researchers in this domain continue to grow in both international academia and industry. The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is a worldwide representative international conference on the research areas of KDD. Under the current spread of KDD techniques in our society, PAKDD 2007 invited the organizers to an industrial track on KDD techniques and, moreover, called for enterprising proposals of workshops on novel and emerging topics in KDD
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