[1]杨志豪,洪 莉,林鸿飞,等.基于支持向量机的生物医学文献蛋白质关系抽取[J].智能系统学报,2008,3(4):361-369.
 YANG Zhi-hao,HONG L i,L IN Hong-fei,et al.Extraction of information on prote in2prote in interaction from biomedical literatures using an SVM[J].CAAI Transactions on Intelligent Systems,2008,3(4):361-369.
点击复制

基于支持向量机的生物医学文献蛋白质关系抽取

参考文献/References:
[ 1 ] PUSTEJOVSKY J, CASTANO, ZHANG J. Robust relation2 al parsing over biomedical literature: extracting inhibit rela2 tions[ C ] / / Proceedings of the Seventh Pacific Symposium on Bio2Computing. [ S. l. ] , 2002: 3622373.
?[ 2 ]LEROY G, CHEN H, MARTINEZ J D. A shallow parser based on closed2class words to cap ture relations in biomed2 ical text [ J ]. Journal of Biomedical Informatics, 2003, 36 (3) : 1452158.
[ 3 ] PARK J C, KIM H S, KIM J J. Bidirectional incremental parsing for automatic pathway identification with combinatory categorical grammar[C ] / / Proceedings of the Pacific Sym2 posium on Bio2Computing. Hawaii, USA, 2001: 3962407.
?[ 4 ] TEMKIN J M, GILDER M R. Extraction of p rotein interac2 tion information from unstructured text using a context2free grammar[ J ]. Bioinformatics, 2003, 19: 204622053.
?[ 5 ]AHMED S T, CH INDAMBARAM D, DAVULCU H, et al. IntEx: a syntactic role driven p rotein2p rotein interaction ex2 tractor for bio2medical text [ C ] / / Proceeding of the ACL2 ISMBWorkshop on L inkingBiologicalL iterature, Ontologies and Databases: Mining Biological Semantics. Detroit, Michigan, USA, 2005: 54261.
[ 6 ]ONO T, H ISH IGAKI H, TAN IGAM Ii A, et al. Automatic extraction of information on p rotein2p rotein interactions from the biological literature [ J ]. Bioinformatics, 2001, 17 (2) : 1552161.
?[ 7 ]HUANGM L, ZHU X Y, HAO Y, et al. Discovering pat2 terns to extract p rotein2p rotein interactions from full texts [ J ]. Bioinformatics, 2004, 20 (18) : 360423612.
?[ 8 ]DAV ID C, BEMARD B, W ILL IAM L, et al. BioRAT: ex2 tracting biological information from full2length papers [ J ]. Bioinformatics, 2004, 20 (17) : 320623213.
?[ 9 ]ANDRADE M A, VALEN ICA A. Automatic extraction of keywords from scientific text: app lication to the knowledge domain of p rotein families [ J ]. Bioinformatic, 1998, 14 (7) : 6002607.
?[ 10 ]CRAVEN M, KUML IEN J. Constructing biological knowl2 edge bases by extracting information from text sources [C ] / / Proceedings of the 7 th International Conference on Intelligent Systems for Molecular Biology. Heidelberg, Germany, 1999: 77286.
[ 11 ] STAPLEY B, BENO IT G. Biobibliometrics: information retrieval and visualization from co2occurrences of gene names in medline abstracts [ C ] / / Proceedings of the Pa2 cific Symposium on Biocomputing. [ S. l. ] , 2000: 5292 540.
[ 12 ]JENSSEN T K, LAEGREID A, KOMOROWSKII J , et al. A literature network of human genes for high2throughput a2 nalysis of gene exp ression [ J ]. Nature Genetics, 2001, 28 (1) : 21228.
[ 13 ]MARCOTTE E M, XENAR IOS I, EISENBERG D, et al. Mining literature for p rotein2p rotein interactions [ J ]. Bioinformatics, 2001, 17 (4) : 3592363.
[ 14 ]BLASCHKE C, VALENCIA A. Can bibliographic pointers for known biological data be found automatically? Protein interactions as a case study [ J ]. Comparative and Func2 tional Genomics, 2001 (2) : 1962206.
[ 15 ]LUKASZ S, CHR ISTOPHER SM, ADAM J S, et al. The database of interacting p roteins: 2004 update[ J ]. Nucleic Acids Research, 2004, 32 (1) : 4492451.
[ 16 ]YANG Zhihao, L IN Hongfei, WU Baodong. BioPP IExtrac2 tor: a p rotein2p rotein interaction extraction system for bio2 medical literature [ J ]. Expert Systems with App lications, 2007 (12) : 14219.
?[ 17 ]D ING J, BERLEANT D, NETTETON D, et al. Mining MEDL INE: abstracts, sentences, or phrases? [C ] / / Pro2 ceedings of the Pacific Symposium on Biocomputing. Ha2 waii, USA, 2002: 326237.
?[ 18 ]王厚峰. 指代消解的基本方法和实现技术[ J ]. 中文信息学报, 2002, 16 (6) : 9217. WANG Houfeng. Survey: computational models and tech2 nologies in anaphora resolution[ J ]. Journal of Chinese In2 formation Processing, 2002, 16 (6) : 9217.
?[ 19 ]TSURUOKA Y, TATEISH Ii Y, KIM J D, et al. Develo2 p ing a robust part2of2speech tagger for biomedical text [C ] / / Proceedings of Advances in Informatics210 th Pan2 hellenic Conference on Informatics. Volos, Greece, 2005: 3822392.
?[ 20 ]YANG Zhihao, L IN Hongfei, L I Yanpeng. Exp loiting the contextual cues for bio2entity name recognition in biomedic2 al literature [ J ]. Journal of Biomedical Informatics, 2008 (1) : 36242.
?[ 21 ] VAPN IK V N. The nature of statistical learning theory [M ]. New York: Sp ringer2Verlag, 1995.
?[ 22 ]阎 辉,张学工,李衍达. 应用SVM方法进行沉积微相识别[ J ]. 物探化探计算技术, 2000, 22 (2) : 1582164.
YAN Hui, ZHANG Xuegong, L I Yanda. Support vector machine methods in pattern recognition of sedimentary faci2 es [ J ]. Computing Techniques for Giophysical and Geochenical Exp loration, 2000, 22 (2) : 1582164.
?[ 23 ]张学工. 关于统计学习理论与支持向量机[ J ]. 自动化学报, 2000, 26 (1) : 32242.
ZHANG Xuegong. Introduction to statistical learning theory and support vectormachines[ J ]. Acta Automatica Sinica, 2000, 26 (1) : 32242.
?[ 24 ]李 凯,郭子雪. 一种基于SVM的函数模拟方法[ J ]. 微机发展, 2001 (3) : 526.
?L I Kai, GUO Zixue. A function simulation based on sup2 port vector machine [ J ]. Microcomputer Development, 2001 (3) : 526.
[ 25 ]马云潜,张学工. 支持向量机函数拟合在分形插值中的应用[J ]. 清华大学学报, 2000, 40 (3) : 76278.
MA Yunqian, ZHANG Xuegong. App lication of support vector machines function regression in fractal interpolation [ J ]. Journal of Tsinghua University, 2000, 40 (3) : 76278.
[ 26 ]MU¨LLER K R, SMOLA A J , RATSCH G, et al. Predic2 ting time series with support vector machines [ C ] / / Pro2 ceedings of the 7 th International Conference on Artificial NeuralNetworks. Lausanne, Switzerland, 1997.
?[ 27 ]BURGES C J C. A tutorial on support vectormachines for pattern recognition [ J ]. Data Mining and Knowledge Dis2 covery, 1998, 2 (2) : 1212167.
?[ 28 ] SLEATOR D, TEMPERLEY D. Parsing English with a link grammar [ C ] / / Proceedings of Third International Workshop on Parsing Technologies. Tilburg, Netherlands, 1993.
相似文献/References:
[1]贾真,何大可,杨燕,等.基于弱监督学习的中文网络百科关系抽取[J].智能系统学报,2015,10(1):113.[doi:10.10.3969/j.issn.1673-4785.201311017]
 JIA Zhen,HE Dake,YANG Yan,et al.Relation extraction from Chinese online encyclopedia based on weakly supervised learnin[J].CAAI Transactions on Intelligent Systems,2015,10():113.[doi:10.10.3969/j.issn.1673-4785.201311017]
[2]姚贤明,甘健侯,徐坚.面向中文开放领域的多元实体关系抽取研究[J].智能系统学报,2019,14(3):597.[doi:10.11992/tis.201805006]
 YAO Xianming,GAN Jianhou,XU Jian.Chinese open domain oriented n-ary entity relation extraction[J].CAAI Transactions on Intelligent Systems,2019,14():597.[doi:10.11992/tis.201805006]
[3]张勇,高大林,巩敦卫,等.用于关系抽取的注意力图长短时记忆神经网络[J].智能系统学报,2021,16(3):518.[doi:10.11992/tis.202008036]
 ZHANG Yong,GAO Dalin,GONG Dunwei,et al.Attention graph long short-term memory neural network for relation extraction[J].CAAI Transactions on Intelligent Systems,2021,16():518.[doi:10.11992/tis.202008036]
[4]胡峰,杨新瑞,汤成富,等.基于自适应损失函数的句子级远程监督关系抽取[J].智能系统学报,2024,19(3):697.[doi:10.11992/tis.202205034]
 HU Feng,YANG Xinrui,TANG Chengfu,et al.Sentence-level distant supervision relation extraction based on self-adaptive loss function[J].CAAI Transactions on Intelligent Systems,2024,19():697.[doi:10.11992/tis.202205034]

备注/Memo

收稿日期: 2008-05-07.
?基金项目:国家自然科学基金资助项目( 60373095, 60673039) ;国家 “863”高科技计划资助项目(2006AA01Z151) .
作者简介:
杨志豪,男, 1973年生,讲师,主要研究方向为文本挖掘和中文信息处理, 发表学术论文20 余篇.
洪 莉,女, 1962年生,副教授,主要研究方向为智能信息处理.
林鸿飞,男, 1962年生,教授,博士生导师,主要研究方向为搜索引擎、文本挖掘、情感计算、中文信息处理以及商业智能的研究. 主持2项国家自然科学基金和1 项国家863 高科技计划研究项目. 发表学术论文百余篇.
通信作者:杨志豪. E-mail: Yangzh@dlut. edu. cn.

更新日期/Last Update: 2009-05-18
Copyright © 《 智能系统学报》 编辑部
地址:(150001)黑龙江省哈尔滨市南岗区南通大街145-1号楼 电话:0451- 82534001、82518134 邮箱:tis@vip.sina.com