һѧ

ڶʮȫϢѧ飨CCIR2014ٿ

    ڶʮȫϢѧ飨CCIR2014ѧа죬20148810Сõ˰ѶƼι˾ƵͬƼ޹˾ض˼Ϣɷ޹˾֪Ϣ޹˾Ϣѯ޹˾ٶȡͨ޹˾Ӣݻ繤ι˾ѹƼչ޹˾֧֡

    鹲յ315ƪͨͨͳίԱ鸴׶Σȷ¼181ƪ¼ԼΪ57%¼õ巴ӳ˹Ϣ³ɹ5ƪѧģ䷢ѧĽ֤顣

    ȫϢӦõо͸У300˲μ˻顣鲻ͳĻģ֪ѧߵĴ棬ѧ̳ȵоר⽲Tutorialͬʱ黹ٰ"Է"COAE2014뵽ۿƼѧǿڡ΢оԺоԱŵѧķУUIUCԳڡݴѧʥ³ȷУUCSCȽ棬뵽΢оԺ־ɲʿ人ѧʿйѧԺԶоʿйѧԺ㼼оΰʿݴѧܵⲩʿٶ沩ʿѧ߱档뵽廪ѧʿIBMвʿֱBig Learning with Bayesian MethodsFrom Big Data to Cognitive ComputingTutorial

    ȫϢѧעϢ½չԱоսչѧͬʱ˹ҼսΪҹϢѧоˮƽףŬɱȨ͹֪רҵѧ顣


йѧԺԶоϲCOLING2014 Best Paper Award

    գʼѧ򶥼COLING2014 Best PaperпԺԶԾʦо"Relation Classification via Convolutional Deep Neural Network ߣDaojian Zeng , Kang Liu, Siwei Lai, Guangyou Zhou and Jun Zhao"ӱ¼õ221ƪӱΪĽĹƪһƪ"A context-based model for Sentiment Analysis in Twitter"ʿΪCIPS๤ίִίԱȻԴеĹϵ⣬þ磨Convolutional Deep Neural NetworkԶѧϰʵϵĴʻԼʵڵľȣϵ෽÷ҪNLPߣPOSNERParsingȣȡĸȡжۻ⡣ʵ÷state-of-the-artڹϵ

    ϸοѧվ

ѧ
йϢѧ2014ƻ
Ҫ ʱ ģ() ص ϵ
1
йϢѧսֻ
418-19
40
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2
ٽѧ֮ѧǿѧĽǿѧҵϵ
516-17
120
ɽ
3
WebϢ¼ȡıࣻıˣʴʽԶժϢȫϢ㷨ģ͵
88-10
300
4
ھŽйϢѧѧУCIPS Summer School in Human Language Technology
ϢѧƵǰؼ
815-17
150
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ʶϳɣ˵˺ʶ﹤еѧȻԴԻӦϵͳ
912-14
150
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6
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ȫϢƼ̳
919-21
80
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ʮĽȻԴ ͬٽ
ȻԴר
1011-14
60
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8
ڶȫ֪ʶͼֻ
֪ʶͼ׹Ӧ
1017
100
9
ѧۻ Ͽѧʷ䷨뼼ϵͳⷽȻԴӦüϵͳ
1018-19
300
10
Ϣصļ
1020-21
100
11
ټЭĹԱٰ⣻2015-2017ƻ
1022-24
200
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12
ڰ˽ȫϢֻᣨCIPT2014
Ϣ¶̬ͷչϢǰؼεרҵƵ
1027-28
60
13
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111-2
300
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14
ģ͡ϵͳԻϵͳ
114-6
150
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15
йϢѧѧ2014ǮΰϢѧ佱ᣨCIPS 2014
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123-4
300
ѧ֪ͨ
йϢѧ㲩ʿѧλѡ֪ͨ

    ΪƶйϢĿƼоٽ˲ųɳڱض˼(TRS)Ϣɷ޹˾Ĵ֧£йϢѧᣨCIPS㲩ʿѧλģ¼"㲩ʿ"ÿѡһΣÿCIPSѡ5ƪ㲩ʿġ

    ѡ

    1. ڹʿѧλڼ䣬ϢĻۻӦоȡҪɹڹؼӦüµȷɹ

    2. 걨ڵǰòʿѧλ

    Ҫ

    :2014722 ~ 91

    ʽ:201491 ~ 910

    ׶:2014910 ~ 1015

    ׶:20141015 ~ 1115

    佱ʽ:2014125

    ϸοѧվ

걨2014"ǮΰϢѧ"֪ͨ

    ΪҹϢоרҺѧߵĻԣƶϢҵķչݡǮΰϢѧԼǮΰϢѧʵʩϸ򡷣չ2014"ǮΰϢѧ"

    2006йϢѧѾɹٰĽ"ǮΰϢѧ"ֱһȽ"괴½"ÿһΣƶҹϢĿƼչԱĴ˻áƼ취ѡȾݿɲοѧվ

    Ҫ

    :201471 - 831

    ׶:201491- 930

    ׶:2014101- 1031

    佱ʽ:2014125

йϢѧԱչ֪ͨ

    ΪƽѧĸĸԻԱΪĹƣȫԱƶȣйЭڹ淶ȫѧ˻ԱǼǺŵ֪ͨҪ͹涨ϱľ˻ԱǼƶȡ

ԱǼǵļҪ:

    1.Աдɺѧ䣺cips_m@iscas.ac.cn

    2.յԱϢȷϺѧȻ, ɻԱʸ֤

2014"йϢѧ"˻Աշѱ׼

    ˻Ա120Ԫ/    ѧԱ 60Ԫ/

    ԱעᲢɷѺ󣬽ûԱǼǺźͻԱ֤ڲμѧĸѧʱƾԱ֤ܻŻݣڻйϢѧԱͨѶӰ棩

    Ϊѧ߼ѧᣬ2014ȻԱǼǵȫԱͲѧԱԽɷ˳ȵȵãΪֹ2014ȫ꡶Ϣѧֽʰ棩

ġѧ̬

2014 CIKM Competition񣺲ѯͼ

    Դ԰ٶijһڵĽʵŲѯsessionclickϢѿʼ101սֹע󼴿ݡ

    ϸοվ

CNNIC34Ρй緢չ״ͳƱ桷

    2014721գйϢģCNNICھ34Ρй緢չ״ͳƱ桷¼ơ桷桷ʾ20146£йģ6.32ڣ,ֻģ5.27ڣռʴﵽ46.9%豸Уֻʹʴ83.4%״γԽͳPC80.9%ʹʣֻΪһն˵ĵλӹ̡2014ϰ꣬ԸӦõʹó̶ȸΪ롣ƶӦƶ֧£ԽʽչڸӦеλҪӦõһ飬ƲƷһʱڣʹʳ10%Ϊ2014ϰ۵Ӧá

    صַhttp://www.cnnic.net.cn/gywm/xwzx/rdxw/2014/201407/W020140721559080702009.pdf

塢ѧԴ

    ģSIGIR 2014ļ
    http://dl.acm.org/citation.cfm?id=2600428

    ģEMNLP 2014 accepted paper list
    http://emnlp2014.org/papers.html

    ģAAAI 2014 ļ
    http://www.aaai.org/Library/AAAI/aaai14contents.php

    ģAnnual Review of Statistics and Its Application
    http://www.annualreviews.org/toc/statistics/1/1
    ͳǰصӦûعˣ漰áΡڸ

    SIGIR
    SIGIR2014: Partitioned Elias-Fano indexes
    ѧ: Towards better measurement of attention and satisfaction in mobile search
    SIGIRʮĽBeyond independent relevance: methods and evaluation metrics for subtopic retrieval

    ģToward Scalable Systems for Big Data Analytics: A Technology Tutorial
    http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6842585
    £ɣȡ洢Ҫ

    Tutorial2014CMUٰĻѧϰļ
    http://www.mlss2014.com
    н50СʱƵʮPDFõƬѧϰҶ˹ֲʽѧϰԵȵ㻰⡣

    ѧϰԴѧϰԴ
    http://52opencourse.com
    㼯ԴӰ̲

    ѧϰ⣺Torch7
    http://torch.ch/
    Torch7һֻ֧ѧϰ㷨ĿѧܣFacebook AI Research

    ѧϰ⣺GraphLab Create
    http://graphlab.com/products/create/overview.html
    һͼݡṹݺıݵĴģѧϰƽ̨

    ߣOpenRefine
    https://github.com/OpenRefine/OpenRefine
    OpenRefineһ㹤ߡԴMIT David KargerʵҵоʵڽʽݴǰءDavid HuynhоMetaWebҲFreebaseŶӡGoogleչ󣬹߸ijGoogle RefineԴΪOpenRefine

    ͼݿ⣺CayleyGoogleԱĿԴͼݿ
    https://github.com/google/cayley
    Cayley Google ԱһԴͼݿ⣬ Freebase Google ֪ʶͼױݿĿdzΪ Linked Data ͼݣ硢罻ȣĹ֮һ

    Դ12ݿӻߺϼ
    http://bigdata.memect.com/?tag=survey+visualization
    12ݿӻߺϼܣdz50ӻߣ񣬵ͼʱᣬ̬ͼͼȣԼ80% javascriptd3.jstimeline.jsSpringy.js

    ԴŲ2014 ݰƤ顷
    http://vdisk.weibo.com/s/zm_eIVP-nkFAe
    Ųˡ2014 ݰƤ顷

    Դйת͡
    http://www.mckinsey.com/insights/high_tech_telecoms_internet/chinas_digital_transformation

    ݼCommon Crawl Data Available
    http://commoncrawl.org/blog/
    Common CrawlץȡĻҳݼ26ҳС183TB

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© йϢѧ 2014