A Genetic Approach for Biomedical Named Entity Recognition

被引：2

作者：

Ekbal, Asif ^{[1
]}

Saha, Sriparna ^{[1
]}

Sikdar, Utpal Kumar ^{[2
]}

Hasanuzzaman, Md ^{[3
]}

机构：

[1] Univ Trento, Trento, Italy

[2] Tata Elxsi, Bangalore, Karnataka, India

[3] West Bengal Ind Dev Crop, Kolkata, W Bengal, India

来源：

22ND INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2010), PROCEEDINGS, VOL 2 | 2010年

关键词：

D O I：

10.1109/ICTAI.2010.125

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we report a classifier ensemble technique using the search capability of genetic algorithm (GA) for Named Entity Recognition (NER) in biomedical domain. We use Maximum Entropy (ME) framework to build a number of classifiers depending upon the various representations of a set of features. The proposed technique is evaluated with the JNLPBA 2004 data sets that yield the overall recall, precision and F-measure values of 67.98%, 71.68% and 69.78%, respectively.

引用

页码：354 / +

页数：2

共 50 条

[1] A CONDITIONAL RANDOM FIELDS APPROACH TO BIOMEDICAL NAMED ENTITY RECOGNITION
Wang Haochang Zhao Tiejun Li Sheng Yu Hao (School of Computer Science and Technology
Journal of Electronics(China), 2007, (06) : 838 - 844
[2] A Kernel-Based Approach for Biomedical Named Entity Recognition
Patra, Rakesh
Saha, Sujan Kumar
SCIENTIFIC WORLD JOURNAL, 2013,
[3] A review of biomedical named entity recognition
Chang, Lu
Zhang, Ruihuan
Lv, Jia
Zhou, Weiguang
Bai, Yunli
JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING, 2022, 22 (03) : 893 - 900
[4] Biomedical named entity recognition system
Patrick, J. (jonpat@it.usyd.edu.au), 2005, School of Information Technologies
[5] A CRF based Machine Learning Approach for Biomedical Named Entity Recognition
Kanimozhi, U.
Manjula, D.
2017 SECOND INTERNATIONAL CONFERENCE ON RECENT TRENDS AND CHALLENGES IN COMPUTATIONAL MODELS (ICRTCCM), 2017, : 335 - 342
[6] A cascaded approach to biomedical named entity recognition using a unified model
Chan, Shing-Kit
Lam, Wai
Yu, Xiaofeng
ICDM 2007: PROCEEDINGS OF THE SEVENTH IEEE INTERNATIONAL CONFERENCE ON DATA MINING, 2007, : 93 - 102
[7] Biomedical Named Entity Recognition Based on MCBERT
Wang, Sai
Yilahun, Hankiz
Hamdulla, Askar
2022 INTERNATIONAL CONFERENCE ON ASIAN LANGUAGE PROCESSING (IALP 2022), 2022, : 247 - 252
[8] Named Entity Recognition for Tamil Biomedical Documents
Antony, Betina J.
Mahalakshmi, G. S.
2014 IEEE INTERNATIONAL CONFERENCE ON CIRCUIT, POWER AND COMPUTING TECHNOLOGIES (ICCPCT-2014), 2014, : 1571 - 1577
[9] Named Entity Recognition From Biomedical Data
Refaat, Maged
Rafea, Ahmed
Gaballah, Nada
2023 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE, CSCI 2023, 2023, : 838 - 844
[10] A comparative study for biomedical named entity recognition
Xu Wang
Chen Yang
Renchu Guan
International Journal of Machine Learning and Cybernetics, 2018, 9 : 373 - 382

← 1 2 3 4 5 →