Wikipedia 2. Mihalcea Wikify! [8] 1) 2) Wikify! [8] Wikipedia (keyphraseness) keyphraseness TF IDF [11] Lesk [6] 3 Naive Bayes Cucerzan [2] Wikipedia
|
|
|
- ひろじ はかまや
- 7 years ago
- Views:
Transcription
1 DEIM Forum 2015 A Wikipedia 1.,,, Twitter () Twitter 44 1 ( ) () (Beta ) [13] Wikipedia Wikipedia Wikipedia Wikipedia () ( )
2 Wikipedia 2. Mihalcea Wikify! [8] 1) 2) Wikify! [8] Wikipedia (keyphraseness) keyphraseness TF IDF [11] Lesk [6] 3 Naive Bayes Cucerzan [2] Wikipedia Wikipedia Wikipedia Milne [10] Wikipedia Miner 2 Wikipedia () [9] 2http://wikipedia-miner.cms.waikato.ac.nz/ Wikify! Kulkarni [5] Cucerzan Milne Hoffart [4] AIDA 3 AIDA Mention-Entity Graph (Mention) (Entity) Ferragina [3] TAGME 4 TAGME Wikipedia () Meij [7] keyphraseness 33 Twitter Wikipedia Miner TAGME [1] AIDA 15 2 [4] TAGME 2 [3] TAGME Wikipedia 3http:// 4http://tagme.di.unipi.it/
3 3. TAGME [3] TAGME Wikipedia Wikipedia 3. 1 TAGME TAGME [3] Wikipedia TAGME 1) 2) 3) TAGME TAGME Wikipedia a 1 a 2 Wikipedia lp(a 1)lp(a 2) lp(a 1) < lp(a 2) a 2 lp(a 1) > = lp(a 2) a 1 a 2 lp(a) a lp(a) = link(a) freq(a) link(a) Wikipedia a freq(a) Wikipedia a (1) keyphraseness [8] Wikipedia a a link(a) a freq(a) lp(a) keyphraseness a lf(a) a df(a) keyphraseness(a) = lf(a) df(a) a keyphraseness (2) a A P g(a) p a P g(a) a p a voting scheme rel a (p a ) = p b P g(b) rel(p b, p a ) P r(p b b) (3) P g(b) b A\{a} rel(p b, p a ) [9] P r(p b b) b p b commonness (3) P r(p b b) > τ (3) p a a (3) ϵ% commonness p a a τ ϵ TAGME [3] τ = 0.02ϵ = 30% Wikipedia (a, p a) ρ(a, p a ) = 1 2 (lp(a) + coherence(a, p a)) (4) ρ(a, p a ) > ρ NA a p a coherence(a, p a ) coherence(a, p a ) = 1 S 1 p b S\{p a } rel(p b, p a ) (5) S (4) (5) 4 ρ NA 3. 2
4 入 力力の テキスト 集 合 アンカーテキスト の 周 辺 情 報 P(w), P(w a) TAGMEの 枠 組 み W 杯 得 点 王 の ハメスがレアルに 移 籍 テキスト ( 太 文 字 下 線 はキーワード) メス レアル W 杯 抽 出 された 語 句句 (アンカーテキスト) 付 与 された 記 事 集 約 後 の 記 事 (1)キーワード 抽 出 (2)キーワードの 曖 昧 性 解 消 (3) 記 事 集 約 1 Wikipedia Wikipedia ( Wikipedia ) TAGME Wikipedia Wikipedia Wikipedia FIFA FIFA FIFA FIFA World Cup2014 FIFA World Cup FIFA FIFA World CupFIFA World Cup 2014 FIFA World Cup 2014 FIFA World Cup TAGME Wikipedia Wikipedia 1 Wikipedia TAGME Wikipedia w 5 5
5 a () con(w, a) w a ( ) P r(w a) w () P r(w) con(w, a) = P r(w a) P r(w) (6) w con(w, a) = 1 P r(w a) P r(w) count(w, a) P r(w a) = w count(w, a) a count(w, a) P r(w) = w,a count(w, a) count(w, a) w a ( ) (6) w a () (6) a w (6) (7) (8) (4) (6) a () w ρ(w, a, p a) = lp(a) + coherence(a, p a) + (1 con(w, a)) 3 (9) ρ(w, a, p a) > ρ NA a p a con(w, a) w con(w, a) (6) 20 (6) (9) 20 TAGME (4) 3. 5 FIFA World Cup2014 FIFA World Cup Microsoft WindowsiPhone () ワールドカップ キーワード (アンカーテキスト) カテゴリ iphone 候 補 となる 記 事 集 合 (a) カテゴリ iphone に 所 属 する 記 事 (b) 2 ( 数 字 )_ トピック 名 を トピック 名 に 集 約 集 約 後 の 記 事 カテゴリと 同 名 の 記 事 に 集 約 集 約 後 の 記 事 Wikipedia ( 2) (a) 2014 FIFA World Cup() p x title x () re withyear extract(title x ) 1 p x re withyear title x 2 title x extract(title x ) = title y p y (1) (2) p x p y 35,847 8, Wikipedia ( 2(b)) Wikipedia
6 1 k 1 439,955 73, ,458 83, ,076,751 84,587 p x categories(p x ) c x cattitle x c x c parent (c x ) p x 1 p x categories(p x ) title x c x categories(p x ) 2 cattitle x = title y p y p x p y 3 k k c parent (c x ) k p x Wikipedia ID 1 k Twitter ( ) Wikipedia Shirakawa [12] () , , () ( ) () ( ) (::) : 2014 FIFA FIFA World Cup2014 FIFA World Cup
7 (hop0) k k = 1 k = 2 (hop1hop2) ( (6)) 2 TAGME [3] (TAGME(LP)) keyphraseness (TAGME(KP)) Micro (Precision) (Recall) (9) (4) ρ NA hop0hop1hop2 ( ) 3 hop1 4 TAGME TAGME 5 (hop1) TAGME(KP) ρ NA TAGME ρ NA = 0.2 : : ρ NA = free mobilepisseddescend Web Wikipedia free mobile free mobile app 適 合 率率率 0.95 TAGME(LP) 0.9 TAGME(KP) 0.85 提 案 手 法 (hop1) 再 現 率率率 3 適 合 率率率 TAGME(LP) 0.7 TAGME(KP) 0.65 提 案 手 法 (hop0) 0.6 提 案 手 法 (hop1) 0.55 提 案 手 法 (hop2) 再 現 率率率 4 TAGME(KP) TAGME(LP) keyphraseness TAGME keyphraseness (hop0hop1) TAGME(KP) TAGME 5 (9) ρ (6) con : TAGME(KP) TAGME hop0hop1hop2 hop0 hop1 hop2 hop1
8 (a) (hop1) Twitter A( ) IT IT ( ) (b) TAGME(KP) 5 ρ NA ice rink Ice Hockey Wikipedia ID Xperia Z3Sony Xperia hop2 () 2 hop0 163,564 hop1 hop2 152, , Wikipedia [1] M. Cornolti, P. Ferragina, and M. Ciaramita, A Framework for Benchmarking Entity-annotation Systems, In WWW, pp , [2] S. Cucerzan, Large-Scale Named Entity Disambiguation Based on Wikipedia Data, In EMNLP-CoNLL, pp , [3] P. Ferragina, and U. Scaiella, Fast and Accurate Annotation of Short Texts with Wikipedia Pages, IEEE Software, vol.29, no.1, pp.70 75, [4] J. Hoffart, M.A. Yosef, I. Bordino, H. Fürstenau, M. Pinkal, M. Spaniol, B. Taneva, S. Thater, and G. Weikum, Robust Disambiguation of Named Entities in Text, In EMNLP, pp , [5] S. Kulkarni, A. Singh, G. Ramakrishnan, and S. Chakrabarti, Collective Annotation of Wikipedia Entities in Web Text, In KDD, pp , [6] M. Lesk, Automatic Sense Disambiguation Using Machine Readable Dictionaries: How to Tell a Pine Cone from an Ice Cream Cone, In SIGDOC, pp.24 26, [7] E. Meij, W. Weerkamp, and M. de Rijke, Adding Semantics to Microblog Posts, In WSDM, pp , Feb [8] R. Mihalcea, and A. Csomai, Wikify!: Linking Documents to Encyclopedic Knowledge, In CIKM, pp , [9] D. Milne, and I.H. Witten, An Effective, Low-cost Measure of Semantic Relatedness Obtained from Wikipedia Links, In AAAI Workshop on Wikipedia and Artificial Intelligence, pp.25 30, July [10] D. Milne, and I.H. Witten, Learning to Link with Wikipedia, In CIKM, pp , [11] G. Salton, and C. Buckley, Term-weighting Approaches in Automatic Text Retrieval, Information processing & management, vol.24, no.5, pp , [12] M. Shirakawa, T. Hara, and S. Nishio, MLJ: Language- Independent Real-Time Search of Tweets Reported by Media Outlets and Journalists, In VLDB, vol.7, no.13, pp , [13],,,, Wikipedia,, vol.2014-dbs-160, no.11, pp.1 9, 2014.
DEIM Forum 2019 D3-5 Web Yahoo! JAPAN Q&A Web Web
DEIM Forum 2019 D3-5 Web 565 0871 1 5 Yahoo! JAPAN 102 8282 1 3 E-mail: {nakamura.tatsuya,hara}@ist.osaka-u.ac.jp, sufujita@yahoo-corp.jp Q&A Web Web Q&A Web Web 1 Web Web Web [2], [3], [10] Web Web [8],
DEIM Forum 2018 C (1) (2), Web [3] 1. Shen [7] SNS T
![DEIM Forum 2018 C (1) (2), Web [3] 1. Shen [7] SNS T](/thumbs/101/148720796.jpg "DEIM Forum 2018 C (1) (2), Web [3] 1. Shen [7] SNS T")
DEIM Forum 2018 C1-6 305 8573 1 1 1 305 8573 1 1 1 E-mail: s.nagaki@kde.cs.tsukuba.ac.jp, kitagawa@cs.tsukuba.ac.jp (1) (2), Web [3] 1. Shen [7] SNS Twitter 1 Twitter [1 3] 2 2 NY the big apple Apple Apple
和文タイトル
Paper Browsing System with Structure Analysis and Displaying Annotation on Side-note Windows Takeshi Abekawa Akiko Aizawa National Institute of Informatics Abstract: In this paper, we introduce our on-going
_314I01BM浅谷2.indd
587 ネットワークの表現学習 1 1 1 1 Deep Learning [1] Google [2] Deep Learning [3] [4] 2014 Deepwalk [5] 1 2 [6] [7] [8] 1 2 1 word2vec[9] word2vec 1 http://www.ai-gakkai.or.jp/my-bookmark_vol31-no4 588 31 4 2016
1 AND TFIDF Web DFIWF Wikipedia Web Web 2. 3. 4. AND 5. Wikipedia AND 6. Wikipedia Web 7. 8. 2. Ma [4] Ma URL AND Tian [8] Tian Tian Web Cimiano [3] [
![1 AND TFIDF Web DFIWF Wikipedia Web Web 2. 3. 4. AND 5. Wikipedia AND 6. Wikipedia Web 7. 8. 2. Ma [4] Ma URL AND Tian [8] Tian Tian Web Cimiano [3] [](/thumbs/41/22779750.jpg "1 AND TFIDF Web DFIWF Wikipedia Web Web 2. 3. 4. AND 5. Wikipedia AND 6. Wikipedia Web 7. 8. 2. Ma [4] Ma URL AND Tian [8] Tian Tian Web Cimiano [3] [")
DEIM Forum 2015 B1-5 606 8501 606 8501 E-mail: komurasaki@dl.kuis.kyoto-u.ac.jp, tajima@i.kyoto-u.ac.jp Web Web AND AND Web 1. Twitter Facebook SNS Web Web Web Web [5] Bollegala [2] Web Web 1 Google Microsoft
Web 1 q q 2 1 2 Step1) Twitter Step2) (w i, w j ) S(w i, w j ) Step3) q 2 2 2.1 I Twitter MeCab[6] URL http:// @ 2.2 (w i, w j ) S(w i, w j ) I w i w
![Web 1 q q 2 1 2 Step1) Twitter Step2) (w i, w j ) S(w i, w j ) Step3) q 2 2 2.1 I Twitter MeCab[6] URL http:// @ 2.2 (w i, w j ) S(w i, w j ) I w i w](/thumbs/39/20141245.jpg "Web 1 q q 2 1 2 Step1) Twitter Step2) (w i, w j ) S(w i, w j ) Step3) q 2 2 2.1 I Twitter MeCab[6] URL http:// @ 2.2 (w i, w j ) S(w i, w j ) I w i w")
ARG WI2 No.6, 2015 a b b 565-0871 2-1 a) yoshitake@nanase.comm.eng.osaka-u.ac.jp b) {naoko, babaguchi}@comm.eng.osaka-u.ac.jp 1 Citizen Sensor [1] Twitter 140 Twitter Sakaki [2] [3] Massoudi [4] [5] Copyright
Wikipedia 2 Wikipedia Web Wikipedia 2. Web [6] [11] [8] 2 SVM Bollegala [1] 5-gram URL URL 2-gram [6] [11] SVM 3 SVM [8] Bollegala [1] SVM [7] [9] [6]
![Wikipedia 2 Wikipedia Web Wikipedia 2. Web [6] [11] [8] 2 SVM Bollegala [1] 5-gram URL URL 2-gram [6] [11] SVM 3 SVM [8] Bollegala [1] SVM [7] [9] [6]](/thumbs/39/20494680.jpg "Wikipedia 2 Wikipedia Web Wikipedia 2. Web [6] [11] [8] 2 SVM Bollegala [1] 5-gram URL URL 2-gram [6] [11] SVM 3 SVM [8] Bollegala [1] SVM [7] [9] [6]")
DEIM Forum 2012 F3-5 305 8550 1-2 305 8550 1-2 E-mail: {yamaguchi,satoh}@ce.slis.tsukuba.ac.jp, sat@slis.tsukuba.ac.jp Wikipedia SVM Abstract A study of Retrieval in Microblogging based on Person s Aliases
,,, Twitter,,, ( ), 2. [1],,, ( ),,.,, Sungho Jeon [2], Twitter 4 URL, SVM,, , , URL F., SVM,, 4 SVM, F,.,,,,, [3], 1 [2] Step Entered
![,,, Twitter,,, ( ), 2. [1],,, ( ),,.,, Sungho Jeon [2], Twitter 4 URL, SVM,, , , URL F., SVM,, 4 SVM, F,.,,,,, [3], 1 [2] Step Entered](/thumbs/91/107583716.jpg ",,, Twitter,,, ( ), 2. [1],,, ( ),,.,, Sungho Jeon [2], Twitter 4 URL, SVM,, , , URL F., SVM,, 4 SVM, F,.,,,,, [3], 1 [2] Step Entered")
DEIM Forum 2016 C5-1 182-8585 1-5-1 E-mail: saitoh-ryoh@uec.ac.jp, terada.minoru@uec.ac.jp Twitter,, Twitter,,, Bag of Words, Latent Semantic Indexing,.,,,, Twitter,, Twitter,, 1. SNS, SNS Twitter 1,,,
独立行政法人情報通信研究機構 Development of the Information Analysis System WISDOM KIDAWARA Yutaka NICT Knowledge Clustered Group researched and developed the infor
独立行政法人情報通信研究機構 KIDAWARA Yutaka NICT Knowledge Clustered Group researched and developed the information analysis system WISDOM as a research result of the second medium-term plan. WISDOM has functions that
卒論タイトル
1 Web, [ ] [ ] [ ] [ ] [ ],.,,.,,., Web, Web 3. Web., 3,, IDF. 2 1 4 1.1... 4 1.2... 4 1.3... 4 1.4... 5 1.5... 5 2 6 2.1 Web UI[2]... 6 2.1.1... 6 2.1.2... 7 2.2 [3]... 7 2.2.1... 7 2.2.2... 7 2.3 Web
IPSJ SIG Technical Report Vol.2011-DBS-153 No /11/3 Wikipedia Wikipedia Wikipedia Extracting Difference Information from Multilingual Wiki
Wikipedia 1 2 3 Wikipedia Wikipedia Extracting Difference Information from Multilingual Wikipedia Yuya Fujiwara, 1 Yu Suzuki 2 and Akiyo Nadamoto 3 There are multilingual articles on the Wikipedia. The
DEIM Forum 2010 A3-3 Web Web Web Web Web. Web Abstract Web-page R
DEIM Forum 2010 A3-3 Web Web 305 8550 1 2 305 8550 1 2 E-mail: s0813167@u.tsukuba.ac.jp, satoh@slis.tsukuba.ac.jp Web Web Web. Web Abstract Web-page Recommendation System based on the Keyword transitions
2. 2. 3 Find Find WIX DB entry WIX Aho- Corasick 1 WIX 2. 2 WIX WIX WIX WIX DBFind 3 3 2. 2. 3 () WIX, FireFox add-on Chrome Extension [1]. 32 Chrome
![2. 2. 3 Find Find WIX DB entry WIX Aho- Corasick 1 WIX 2. 2 WIX WIX WIX WIX DBFind 3 3 2. 2. 3 () WIX, FireFox add-on Chrome Extension [1]. 32 Chrome](/thumbs/39/20140044.jpg "2. 2. 3 Find Find WIX DB entry WIX Aho- Corasick 1 WIX 2. 2 WIX WIX WIX WIX DBFind 3 3 2. 2. 3 () WIX, FireFox add-on Chrome Extension [1]. 32 Chrome")
DEIM Forum 2015 D5-3 Web Index 223 8522 3 14 1 E-mail: ikuta@db.ics.keio.ac.jp, toyama@ics.keio.ac.jp Web IndeX (WIX) URL WIX Web URL () WIX WIX., Wikipedia WIX Aho-Corasick Web IndexWeb Web Wikipedia
( )
NAIST-IS-MT1051071 2012 3 16 ( ) Pustejovsky 2 2,,,,,,, NAIST-IS- MT1051071, 2012 3 16. i Automatic Acquisition of Qualia Structure of Generative Lexicon in Japanese Using Learning to Rank Takahiro Tsuneyoshi
2 21,238 35 2 2 Twitter 3 4 5 6 2. 2.1 SNS 2.2 2. 1 [8] [5] [7] 2. 2 SNS SNS 2 2. 2. 1 Cheng [2] Twitter [6] 2. 2. 2 Backstrom [1] Facebook 3 Jurgens
![2 21,238 35 2 2 Twitter 3 4 5 6 2. 2.1 SNS 2.2 2. 1 [8] [5] [7] 2. 2 SNS SNS 2 2. 2. 1 Cheng [2] Twitter [6] 2. 2. 2 Backstrom [1] Facebook 3 Jurgens](/thumbs/40/22232212.jpg "2 21,238 35 2 2 Twitter 3 4 5 6 2. 2.1 SNS 2.2 2. 1 [8] [5] [7] 2. 2 SNS SNS 2 2. 2. 1 Cheng [2] Twitter [6] 2. 2. 2 Backstrom [1] Facebook 3 Jurgens")
DEIM Forum 2016 B4-3 地域ユーザに着目した口コミツイート収集手法の提案 長島 里奈 関 洋平 圭 猪 筑波大学 情報学群 知識情報 図書館学類 305 8550 茨城県つくば市春日 1 2 筑波大学 図書館情報メディア系 305 8550 茨城県つくば市春日 1 2 つくば市役所 305 8555 茨城県つくば市研究学園 1 1 1 E-mail: s1211530@u.tsukuba.ac.jp,
Trial for Value Quantification from Exceptional Utterances 37-066593 1 5 1.1.................................. 5 1.2................................ 8 2 9 2.1.............................. 9 2.1.1.........................
"-./0%. "-%!"#$#% $%&'(%)*+,%.!"#+$,$% &'()*% $%&'-(.(/%+,% $%&'0%12*+,'% 1 RMX.. grade gradetype= integer grade[
DEIM Forum 2014 C8-5 RMX 223 8522 3 14 1 E-mail: {yohei,kita}@db.ics.keio.ac.jp, toyama@ics.keio.ac.jp RMX,,, RMX., RMX, RMX,., RMX,., RMX,.,,., RMX 1. RMX (Rule-based e-mail exchange System).,,., RMX,
2 : Open Clip Art Library [4] 2 3 4 5 6 2. 2 2. 1 Microsoft Office PowerPoint Web PowerPoint 2 Yahoo! Web [5] SlideShare 2. 1. 1 Yahoo! Web Yahoo! Web
![2 : Open Clip Art Library [4] 2 3 4 5 6 2. 2 2. 1 Microsoft Office PowerPoint Web PowerPoint 2 Yahoo! Web [5] SlideShare 2. 1. 1 Yahoo! Web Yahoo! Web](/thumbs/42/23004560.jpg "2 : Open Clip Art Library [4] 2 3 4 5 6 2. 2 2. 1 Microsoft Office PowerPoint Web PowerPoint 2 Yahoo! Web [5] SlideShare 2. 1. 1 Yahoo! Web Yahoo! Web")
DEWS2008 E4-4 606-8501 E-mail: {hsato,oyama,tanaka}@dl.kuis.kyoto-u.ac.jp.. Supporting the Selection of Images Based on Referential Semantics from Surrounding Information of the Image in Presentation Files
([ ]!) name1 name2 : [Name]! name10 2. 3 SuperSQL,,,,,,, (@) < >@{ < > } =,,., 200,., TFE,, 1 2.,, 4, 3.,,,, Web EGG [5] SSVisual [6], Java SSedit( ss
![([ ]!) name1 name2 : [Name]! name10 2. 3 SuperSQL,,,,,,, (@) < >@{ < > } =,,., 200,., TFE,, 1 2.,, 4, 3.,,,, Web EGG [5] SSVisual [6], Java SSedit( ss](/thumbs/39/20461999.jpg "([ ]!) name1 name2 : [Name]! name10 2. 3 SuperSQL,,,,,,, (@) < >@{ < > } =,,., 200,., TFE,, 1 2.,, 4, 3.,,,, Web EGG [5] SSVisual [6], Java SSedit( ss")
DEIM Forum 2016 H6-3 SuperSQL CSS 223 8522 3-14-1 E-mail: {ryosuke,goto}@db.ics.keio.ac.jp, toyama@ics.keio.ac.jp SuperSQL, SQL. SuperSQL HTML, PHP,,,, SuperSQL Web, CSS 1. SQL, SuperSQL, CSS SuperSQL,
IPSJ SIG Technical Report Vol.2014-DBS-159 No.6 Vol.2014-IFAT-115 No /8/1 1,a) 1 1 1,, 1. ([1]) ([2], [3]) A B 1 ([4]) 1 Graduate School of Info
![IPSJ SIG Technical Report Vol.2014-DBS-159 No.6 Vol.2014-IFAT-115 No /8/1 1,a) 1 1 1,, 1. ([1]) ([2], [3]) A B 1 ([4]) 1 Graduate School of Info](/thumbs/101/149057081.jpg "IPSJ SIG Technical Report Vol.2014-DBS-159 No.6 Vol.2014-IFAT-115 No /8/1 1,a) 1 1 1,, 1. ([1]) ([2], [3]) A B 1 ([4]) 1 Graduate School of Info")
1,a) 1 1 1,, 1. ([1]) ([2], [3]) A B 1 ([4]) 1 Graduate School of Information Science and Technology, Osaka University a) kawasumi.ryo@ist.osaka-u.ac.jp 1 1 Bucket R*-tree[5] [4] 2 3 4 5 6 2. 2.1 2.2 2.3
1., 1 COOKPAD 2, Web.,,,,,,.,, [1]., 5.,, [2].,,.,.,, 5, [3].,,,.,, [4], 33,.,,.,,.. 2.,, 3.., 4., 5., ,. 1.,,., 2.,. 1,,
![1., 1 COOKPAD 2, Web.,,,,,,.,, [1]., 5.,, [2].,,.,.,, 5, [3].,,,.,, [4], 33,.,,.,,.. 2.,, 3.., 4., 5., ,. 1.,,., 2.,. 1,,](/thumbs/50/25936361.jpg "1., 1 COOKPAD 2, Web.,,,,,,.,, [1]., 5.,, [2].,,.,.,, 5, [3].,,,.,, [4], 33,.,,.,,.. 2.,, 3.., 4., 5., ,. 1.,,., 2.,. 1,,")
THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS TECHNICAL REPORT OF IEICE.,, 464 8601 470 0393 101 464 8601 E-mail: matsunagah@murase.m.is.nagoya-u.ac.jp, {ide,murase,hirayama}@is.nagoya-u.ac.jp,
●70974_100_AC009160_KAPヘ<3099>ーシス自動車約款（11.10）.indb
" # $ % & ' ( ) * +, -. / 0 1 2 3 4 5 6 7 8 9 : ; < = >? @ A B C D E F G H I J K L M N O P Q R S T U V W X Y " # $ % & ' ( ) * + , -. / 0 1 2 3 4 5 6 7 8 9 : ; < = > ? @ A B
DEIM Forum 2012 E Web Extracting Modification of Objec
DEIM Forum 2012 E4-2 670 0092 1 1 12 E-mail: nd11g028@stshse.u-hyogo.ac.jp, {dkitayama,sumiya}@shse.u-hyogo.ac.jp Web Extracting Modification of Objects for Supporting Map Browsing Junki MATSUO, Daisuke
- 1 - - 2 - 320 421 928 1115 12 8 116 124 2 7 4 5 428 515 530 624 921 1115 1-3 - 100 250-4 - - 5 - - 6 - - 7 - - 8 - - 9 - & & - 11 - - 12 - GT GT - 13 - GT - 14 - - 15 - - 16 - - 17 - - 18 - - 19 - -
＜報告書発刊にあたって＞
..................... 16... 20... 26... 34 2002... 35 2002... 38 2002... 42 2002... 45... 53... 63... 64... 66... 68 2002 FIFA World Cup Korea/Japan... 73 2002... 77... 84 FC... 87... 88... 104... 105
3339 Web Web 1 Web Web 2 3 Wikipedia 19),24) 10 5 4 Web 7) Web 1 5 2 6 7 2. 1 47 ID 17) Table 1 47 semantic categories, represented in the form of ID:
Vol. 52 No. 12 3338 3348 (Dec. 2011) Web 1 2 2 2 Web CGM Web Web Web Wikipedia Web Semi-automatically Building Linguistic Resources for Word Sense Disambiguation of Web Text Hideaki Muramoto, 1 Nobuhiro
1 1 tf-idf tf-idf i
14 A Method of Article Retrieval Utilizing Characteristics in Newspaper Articles 1055104 2003 1 31 1 1 tf-idf tf-idf i Abstract A Method of Article Retrieval Utilizing Characteristics in Newspaper Articles
,255 7, ,355 4,452 3,420 3,736 8,206 4, , ,992 6, ,646 4,
30 8 IT 28 1,260 3 1 11. 1101. 1102. 1103. 1 3 1,368.3 3 1,109.8 p.5,p.7 2 9,646 4,291 14.5% 10,p.11 3 3,521 8 p.13 45-49 40-44 50-54 019 5 3 1 2,891 3 6 1 3 95 1 1101 1102 1103 1101 1102 1103 1 6,255
繧ｵ繧吶う蟐剃ｽ楢ｳ・侭2008-陦ｨ髱｢-4N
MEDIA DATA 2008-09 0.2% 8.2% 35.% 3530 29.4% 5.5% 0.3%.3% 0 0 20 30 40 7.% 82.7% 0.% 0.5% 2.5% 4.8% 0.2% 6.4% 6.9% 8.3% 0.5% 60.0% 82 60 2 0.7% 66.7% 32.6% 66 4.7% 4.% 54.% 0.5% 3.4% 0.8% 25.9% 2.5% 2.2%
Microsoft Word - toyoshima-deim2011.doc
DEIM Forum 2011 E9-4 252-0882 5322 252-0882 5322 E-mail: t09651yt, sashiori, kiyoki @sfc.keio.ac.jp CBIR A Meaning Recognition System for Sign-Logo by Color-Shape-Based Similarity Computations for Images
[12] Qui [6][7] Google N-gram[11] Web ( 4travel 5, 6 ) ( 7 ) ( All About 8 ) (1) (2) (3) 3 3 (1) (2) (3) (a) ( (b) (c) (d) (e) (1
![[12] Qui [6][7] Google N-gram[11] Web ( 4travel 5, 6 ) ( 7 ) ( All About 8 ) (1) (2) (3) 3 3 (1) (2) (3) (a) ( (b) (c) (d) (e) (1](/thumbs/89/98789829.jpg "[12] Qui [6][7] Google N-gram[11] Web ( 4travel 5, 6 ) ( 7 ) ( All About 8 ) (1) (2) (3) 3 3 (1) (2) (3) (a) ( (b) (c) (d) (e) (1")
RD-003 Building a Database of Purpose for Action from Word-of-mouth on the Web y Hiromi Wakaki y Hiroko Fujii y Michiaki Ariga y Kazuo Sumita y Kouta Nakata y Masaru Suzuki 1 ().com 1 Amazon 2 3 [10] 2007
BN43.indd
NEWS LETTER No.43 2016 March Management 1 Management 2 3 Financial Data 4 Portrait 5 Holdings News Group News 6 Disney Disney/Pixar Disney. Based on the Winnie the Pooh works by A.A. Milne and E.H. Shepard
<> <name> </name> <body> <></> <> <title> </title> <item> </item> <item> 11 </item> </>... </body> </> 1 XML Web XML HTML 1 name item 2 item item HTML
DEWS2008 C6-4 XML 606-8501 E-mail: yyonei@db.soc.i.kyoto-u.ac.jp, {iwaihara,yoshikawa}@i.kyoto-u.ac.jp XML XML XML, Abstract Person Retrieval on XML Documents by Coreference that Uses Structural Features
untitled
IT E- IT http://www.ipa.go.jp/security/ CERT/CC http://www.cert.org/stats/#alerts IPA IPA 2004 52,151 IT 2003 12 Yahoo 451 40 2002 4 18 IT 1/14 2.1 DoS(Denial of Access) IDS(Intrusion Detection System)
22 Google Trends Estimation of Stock Dealing Timing using Google Trends
22 Google Trends Estimation of Stock Dealing Timing using Google Trends 1135064 3 1 Google Trends Google Trends Google Google Google Trends Google Trends 2006 Google Google Trend i Abstract Estimation
3_39.dvi
Vol. 49 No. 3 Mar. 2008 Web 1 2 PC Web Web Windows Web Access Watchdog Systems for Children Protection Tatsumi Ueda 1 and Yoshiaki Takai 2 For today s children, the Internet is one of the most familiar
DEIM Forum 2012 E8-4 Wikipedia y
DEIM Forum 2012 E8-4 Wikipedia 658-8501 8-9-1 464-8601 658-8501 8-9-1 658-8501 8-9-1 E-mail: life.of.151a@gmail.co.jp, suzuki@db.itc.nagoya-u.ac.jp, ykonishi@center.konan-u.ac.jp, nadamoto@konan-u.ac.jp
untitled
DEIM Forum 2019 C1-2 305-8573 1-1-1 305-8573 1-1-1 () 151-0053 1-3-15 6F QA,,,, Detecting and Analysing Chinese Web Sites for Collecting Know-How Knowledge Wenbin NIU, Yohei OHKAWA,ShutoKAWABATA,ChenZHAO,TianNIE,
36
36 37 38 P r R P 39 (1+r ) P =R+P g P r g P = R r g r g == == 40 41 42 τ R P = r g+τ 43 τ (1+r ) P τ ( P P ) = R+P τ ( P P ) n P P r P P g P 44 R τ P P = (1 τ )(r g) (1 τ )P R τ 45 R R σ u R= R +u u~ (0,σ
IPSJ SIG Technical Report Vol.2012-CG-149 No.13 Vol.2012-CVIM-184 No /12/4 3 1,a) ( ) DB 3D DB 2D,,,, PnP(Perspective n-point), Ransa
3,a) 3 3 ( ) DB 3D DB 2D,,,, PnP(Perspective n-point), Ransac. DB [] [2] 3 DB Web Web DB Web NTT NTT Media Intelligence Laboratories, - Hikarinooka Yokosuka-Shi, Kanagawa 239-0847 Japan a) yabushita.hiroko@lab.ntt.co.jp
DEIM Forum 2017 E Netflix (Video on Demand) IP 4K [1] Video on D
![DEIM Forum 2017 E Netflix (Video on Demand) IP 4K [1] Video on D](/thumbs/104/162687582.jpg "DEIM Forum 2017 E Netflix (Video on Demand) IP 4K [1] Video on D")
DEIM Forum 2017 E1-1 700-8530 3-1-1 E-mail: inoue-y@mis.cs.okayama-u.ac.jp, gotoh@cs.okayama-u.ac.jp 1. Netflix (Video on Demand) IP 4K [1] Video on Demand ( VoD) () 2. 2. 1 VoD VoD 2. 2 AbemaTV VoD VoD
([ ],), : [Name], name1 name2 name10 4, 2 SuperSQL, ([ ]!), name1 name2 : [Name]! name10 2. 3 SuperSQL,,,,,,, < < > } =,
![([ ],), : [Name], name1 name2 name10 4, 2 SuperSQL, ([ ]!), name1 name2 : [Name]! name10 2. 3 SuperSQL,,,,,,, < < > } =,](/thumbs/42/23042741.jpg "([ ],), : [Name], name1 name2 name10 4, 2 SuperSQL, ([ ]!), name1 name2 : [Name]! name10 2. 3 SuperSQL,,,,,,, < < > } =,")
DEIM Forum 2014 E3-5 SuperSQL 223-8522 3-14-1 E-mail: {masato,goto}@db.ics.keio.ac.jp, toyama@ics.keio.ac.jp SuperSQL, SQL, SuperSQL ssqltool, ssqltool, SuperSQL, Viewer Viewer, SuperSQL,,,, HTML, 1. SQL,
kut-paper-template.dvi
14 Application of Automatic Text Summarization for Question Answering System 1030260 2003 2 12 Prassie Posum Prassie Prassie i Abstract Application of Automatic Text Summarization for Question Answering
2015 9
JAIST Reposi https://dspace.j Title ウェブページからのサイト情報 作成者情報の抽出 Author(s) 堀, 達也 Citation Issue Date 2015-09 Type Thesis or Dissertation Text version author URL http://hdl.handle.net/10119/12932 Rights Description
1 2. Nippon Cataloging Rules NCR [6] (1) 5 (2) 4 3 (3) 4 (4) 3 (5) ISSN 7 International Standard Serial Number ISSN (6) (7) 7 16 (8) ISBN ISSN I
![1 2. Nippon Cataloging Rules NCR [6] (1) 5 (2) 4 3 (3) 4 (4) 3 (5) ISSN 7 International Standard Serial Number ISSN (6) (7) 7 16 (8) ISBN ISSN I](/thumbs/82/86679845.jpg "1 2. Nippon Cataloging Rules NCR [6] (1) 5 (2) 4 3 (3) 4 (4) 3 (5) ISSN 7 International Standard Serial Number ISSN (6) (7) 7 16 (8) ISBN ISSN I")
Development of Digital Archive System of Comics Satoshi Tsutsui Kojima Kazuya The comic published in Japan is liked to read from of old by a lot of people, and builds our life and implications now. The
Vol.55 No (Jan. 2014) saccess 6 saccess 7 saccess 2. [3] p.33 * B (A) (B) (C) (D) (E) (F) *1 [3], [4] Web PDF a m
![Vol.55 No (Jan. 2014) saccess 6 saccess 7 saccess 2. [3] p.33 * B (A) (B) (C) (D) (E) (F) *1 [3], [4] Web PDF a m](/thumbs/92/108648363.jpg "Vol.55 No (Jan. 2014) saccess 6 saccess 7 saccess 2. [3] p.33 * B (A) (B) (C) (D) (E) (F) *1 [3], [4] Web PDF a m")
Vol.55 No.1 2 15 (Jan. 2014) 1,a) 2,3,b) 4,3,c) 3,d) 2013 3 18, 2013 10 9 saccess 1 1 saccess saccess Design and Implementation of an Online Tool for Database Education Hiroyuki Nagataki 1,a) Yoshiaki
. Yahoo! 1!goo 2 QA..... QA Web Web 2 3 4 5 6 7 8 2. [1]Web Web Yin [2] Web Web Web. [3] Web Wikipedia 1 2
![. Yahoo! 1!goo 2 QA..... QA Web Web 2 3 4 5 6 7 8 2. [1]Web Web Yin [2] Web Web Web. [3] Web Wikipedia 1 2](/thumbs/42/23084402.jpg ". Yahoo! 1!goo 2 QA..... QA Web Web 2 3 4 5 6 7 8 2. [1]Web Web Yin [2] Web Web Web. [3] Web Wikipedia 1 2")
DEIM Forum 211 F6-3 Web 35 855 1 2 35 855 1 2 11 843 2 1 2 E-mail: s913153@klis.tsukuba.ac.jp, {yohei,satoh}@slis.tsukuba.ac.jp, kando@nii.ac.jp QA Web Web Web QA Diversified-query Generating System Using
Vol. 9 No. 5 Oct. 2002 (?,?) 2000 6 5 6 2 3 6 4 5 2 A B C D 132
2000 6 5 6 :, Supporting Conference Program Production Using Natural Language Processing Technologies Hiromi itoh Ozaku Masao Utiyama Masaki Murata Kiyotaka Uchimoto and Hitoshi Isahara We applied natural
main.dvi
DEIM Forum 2015 D3-1 305-8573 1-1-1 305-8573 1-1-1 ( ) 151-0051 5-13-18 101-8430 2-1-2.com,,,, Market Share Estimation based on Statistics of Search Engine Suggests Takakazu IMADA,IchiroMORIYA, Yusuke
main.dvi
DEIM Forum 2018 J7-3 305-8573 1-1-1 305-8573 1-1-1 305-8573 1-1-1 () 151-0053 1-3-15 6F URL SVM Identifying Know-How Sites basedonatopicmodelandclassifierlearning Jiaqi LI,ChenZHAO, Youchao LIN, Ding YI,ShutoKAWABATA,
Vol.54 No (July 2013) [9] [10] [11] [12], [13] 1 Fig. 1 Flowchart of the proposed system. c 2013 Information
![Vol.54 No (July 2013) [9] [10] [11] [12], [13] 1 Fig. 1 Flowchart of the proposed system. c 2013 Information](/thumbs/91/104959916.jpg "Vol.54 No (July 2013) [9] [10] [11] [12], [13] 1 Fig. 1 Flowchart of the proposed system. c 2013 Information")
Vol.54 No.7 1937 1950 (July 2013) 1,a) 2012 11 1, 2013 4 5 1 Similar Sounds Sentences Generator Based on Morphological Analysis Manner and Low Class Words Masaaki Kanakubo 1,a) Received: November 1, 2012,
教師情報を必要としないWebページ群のコンテンツ自動抽出ツールの提案
DEIM Forum 2009 A8-4 Web 305-8573 1-1-1 305-8573 1-1-1 E-mail: m.yoshida@mibel.cs.tsukuba.ac.jp, myama@cs.tsukuba.ac.jp CMS Web Web Web Web Web Web Web Web,,, HTML, Web, Web, Primary Content Extraction
BOK body of knowledge, BOK BOK BOK 1 CC2001 computing curricula 2001 [1] BOK IT BOK 2008 ITBOK [2] social infomatics SI BOK BOK BOK WikiBOK BO
![BOK body of knowledge, BOK BOK BOK 1 CC2001 computing curricula 2001 [1] BOK IT BOK 2008 ITBOK [2] social infomatics SI BOK BOK BOK WikiBOK BO](/thumbs/91/105171019.jpg "BOK body of knowledge, BOK BOK BOK 1 CC2001 computing curricula 2001 [1] BOK IT BOK 2008 ITBOK [2] social infomatics SI BOK BOK BOK WikiBOK BO")
DEIM Forum 2012 C8-5 WikiBOK 252 5258 5 10 1 E-mail: shunsuke.shibuya@gmail.com, {kaz,masunaga}@si.aoyama.ac.jp, {yabuki,sakuta}@it.aoyama.ac.jp Body Of Knowledge, BOK BOK BOK BOK BOK, BOK Abstract Extention
Twitter‡Ì”À‰µ…c…C†[…g‡ðŠŸŠp‡µ‡½…^…C…•…›…C…fi‘ã‡Ì…l…^…o…„‘îŁñ„�™m
27 Twitter 1431050 2016 3 14 1 Twitter,,.,.,., Twitter,.,,.,,. URL,,,. BoW(Bag of Words), LSI(Latent Semantic Indexing)., URL,,,,., Accuracy, AUC(Area Under the Curve), Precision, Recall, F,. URL,,,.,
Computational Semantics 1 category specificity Warrington (1975); Warrington & Shallice (1979, 1984) 2 basic level superiority 3 super-ordinate catego
Computational Semantics 1 category specificity Warrington (1975); Warrington & Shallice (1979, 1984) 2 basic level superiority 3 super-ordinate category preservation 1 / 13 analogy by vector space Figure
/27 (13 8/24) (9/27) (9/27) / / / /16 12
79 7 79 6 14 7/8 710 10 () 9 13 9/17 610 13 9/27 49 7 14 7/8 810 1 15 8/16 11 811 1 13 9/27 (13 8/24) (9/27) (9/27) 49 15 7/12 78 15 7/27 57 1 13 8/24 15 8/16 12 810 10 40 1 Wikipedia 13 8/18, 8/28 79
和文タイトル
Twitter A Proposal of a Topic Transition Analysis System for Tweets 1 1 1 Center for Information and Communication Technology, Hitotsubashi University Abstract: In this paper, we propose an interactive
2007/2 Vol. J90 D No Web 2. 1 [3] [2], [11] [18] [14] YELLOW [16] [8] tfidf [19] 2. 2 / 30% 90% [24] 2. 3 [4], [21] 428
![2007/2 Vol. J90 D No Web 2. 1 [3] [2], [11] [18] [14] YELLOW [16] [8] tfidf [19] 2. 2 / 30% 90% [24] 2. 3 [4], [21] 428](/thumbs/91/105553984.jpg "2007/2 Vol. J90 D No Web 2. 1 [3] [2], [11] [18] [14] YELLOW [16] [8] tfidf [19] 2. 2 / 30% 90% [24] 2. 3 [4], [21] 428")
Informative Summarization Method by Key Sentences Extraction Considering Sub-Topics Naoki SAGARA, Wataru SUNAYAMA, and Masahiko YACHIDA 1. 1990 WWW World Wide Web Web [15] Graduate School of Engineering
Q [4] 2. [3] [5] ϵ- Q Q CO CO [4] Q Q [1] i = X ln n i + C (1) n i i n n i i i n i = n X i i C exploration exploitation [4] Q Q Q ϵ 1 ϵ 3. [3] [5] [4]
![Q [4] 2. [3] [5] ϵ- Q Q CO CO [4] Q Q [1] i = X ln n i + C (1) n i i n n i i i n i = n X i i C exploration exploitation [4] Q Q Q ϵ 1 ϵ 3. [3] [5] [4]](/thumbs/93/112440494.jpg "Q [4] 2. [3] [5] ϵ- Q Q CO CO [4] Q Q [1] i = X ln n i + C (1) n i i n n i i i n i = n X i i C exploration exploitation [4] Q Q Q ϵ 1 ϵ 3. [3] [5] [4]")
1,a) 2,3,b) Q ϵ- 3 4 Q greedy 3 ϵ- 4 ϵ- Comparation of Methods for Choosing Actions in Werewolf Game Agents Tianhe Wang 1,a) Tomoyuki Kaneko 2,3,b) Abstract: Werewolf, also known as Mafia, is a kind of
main.dvi
DEIM Forum 2015 A1-4 305-8573 1-1-1 305-8573 1-1-1 ( ) 151-0051 5-13-18 101-8430 2-1-2,,,, A Complementary Framework for Collecting Know-How Knowledge based on Question-Answer Examples and Search Engine
4) 5) ) ( 1 ) ( 2 ) ( 3 ) ( 4 ) ( 5 ) ( 6 ) )8) ( 1 ) ( 2 ) ( 3 ) ( 200 9) ( 10) 1 2 (
2 1 2 3 4 5 2 2 2 16 2 16 3 2 Proposal of Learning Computer-aided Measurement and Control with a Bipedal Walking Robot Shuji KUREBAYASHI, 1 Daisuke HIGUCHI, 2 Wataru HISHIDA, 3 Motomasa OMURA 4 and Susumu
IPSJ SIG Technical Report Vol.2010-SLDM-144 No.50 Vol.2010-EMB-16 No.50 Vol.2010-MBL-53 No.50 Vol.2010-UBI-25 No /3/27 Twitter IME Twitte
Twitter 1 1 1 IME Twitter 2009 12 15 2010 2 1 13590 4.83% 8.16% 2 3 Web 10 45% Relational Analysis between User Context and Input Word on Twitter Yutaka Arakawa, 1 Shigeaki Tagashira 1 and Akira Fukuda
untitled
580 26 5 SP-G 2011 AI An Automatic Question Generation Method for a Local Councilor Search System Yasutomo KIMURA Hideyuki SHIBUKI Keiichi TAKAMARU Hokuto Ototake Tetsuro KOBAYASHI Tatsunori MORI Otaru
DEIM Forum 2019 H Web 1 Tripadvisor
DEIM Forum 2019 H7-2 163 8677 1 24 2 E-mail: em18011@ns.kogakuin.ac.jp, kitayama@cc.kogakuin.ac.jp Web 1 Tripadvisor 1 2 1 1https://www.tripadvisor.com/ 2https://www.jalan.net/kankou/ 1 2 3 4 5 6 7 2 2.
A Japanese Word Dependency Corpus ÆüËܸì¤Îñ¸ì·¸¤ê¼õ¤±¥³¡¼¥Ñ¥¹
A Japanese Word Dependency Corpus 2015 3 18 Special thanks to NTT CS, 1 /27 Bunsetsu? What is it? ( ) Cf. CoNLL Multilingual Dependency Parsing [Buchholz+ 2006] (, Penn Treebank [Marcus 93]) 2 /27 1. 2.
1 Twitter Twitter Twitter 2. 1 Xu [3] Twitter Twitter Twitter Twitter iphone iphone iphone Twitter Xu [3] Twitter Xu [5] Web Web Web Web
![1 Twitter Twitter Twitter 2. 1 Xu [3] Twitter Twitter Twitter Twitter iphone iphone iphone Twitter Xu [3] Twitter Xu [5] Web Web Web Web](/thumbs/91/105015918.jpg "1 Twitter Twitter Twitter 2. 1 Xu [3] Twitter Twitter Twitter Twitter iphone iphone iphone Twitter Xu [3] Twitter Xu [5] Web Web Web Web")
DEIM Forum 2015 G8-5 Twitter 305 8550 1 2 305 8550 1 2 E-mail: s1111509@u.tsukuba.ac.jp, yohei@slis.tsukuba.ac.jp n-gram (n=3 9) 18 Twitter 1. 1. 1 Twitter 1 Twitter Twitter Twitter Twitter 1https://twitter.com
IPSJ SIG Technical Report iphone iphone,,., OpenGl ES 2.0 GLSL(OpenGL Shading Language), iphone GPGPU(General-Purpose Computing on Graphics Proc
iphone 1 1 1 iphone,,., OpenGl ES 2.0 GLSL(OpenGL Shading Language), iphone GPGPU(General-Purpose Computing on Graphics Processing Unit)., AR Realtime Natural Feature Tracking Library for iphone Makoto
Vol. 19 No. 4 December 2012 level and replace them to the original category, and (2) cut not-is-a links between categories and category-to-articles. E
Wikipedia Wikipedia is-a Wikipedia Wikipedia is-a (1) Wikipedia (2) Wikipedia is-a (1) Wikipedia (2) Wikipedia not-is-a 3 Wikipedia is-a not-is-a 3 9 1 is-a is-a 95.3% 96.6% 96.2% 95.6% 84.5% 34,000 88.6%
人工知能学会研究会資料 SIG-KBS-B Analysis of Voting Behavior in One Night Werewolf 1 2 Ema Nishizaki 1 Tomonobu Ozaki Graduate School of Integrated B
人工知能学会研究会資料 SIG-KBS-B508-09 Analysis of Voting Behavior in One Night Werewolf 1 2 Ema Nishizaki 1 Tomonobu Ozaki 2 1 1 Graduate School of Integrated Basic Sciences, Nihon University 2 2 College of Humanities
Web サイト作成者によって設定された Web リンク システムが作成した Web リンク データ 静的リンク 学部ページ 大学 ページ 就職関連ページ 入試関連ページ 利用者の要求 データベース 動的リンク データ工学研究室ページ ベース研究室ページ 大学ページ 3. Web 学科ページ データ工
DEWS2005 4B-o2 Web 525-8577 1-1-1 525-8577 1-1-1 E-mail: {nakatani,suzuki,kawagoe}@coms.ics.ritsumei.ac.jp Web Web Web Web 1) Web 2) Web 1) Web 2) Web Web Web Web Web Web Web Web Abstract Automatic and
DEIM Forum 2009 C8-4 QA NTT QA QA QA 2 QA Abstract Questions Recomme
DEIM Forum 2009 C8-4 QA NTT 239 0847 1 1 E-mail: {kabutoya.yutaka,kawashima.harumi,fujimura.ko}@lab.ntt.co.jp QA QA QA 2 QA Abstract Questions Recommendation Based on Evolution Patterns of a QA Community
¥ì¥·¥Ô¤Î¸À¸ì½èÍý¤Î¸½¾õ
2013 8 18 Table of Contents = + 1. 2. 3. 4. 5. etc. 1. ( + + ( )) 2. :,,,,,, (MUC 1 ) 3. 4. (subj: person, i-obj: org. ) 1 Message Understanding Conference ( ) UGC 2 ( ) : : 2 User-Generated Content [
paper
WISS2013 EpisoPass:. / EpisoPass EpisoPass / 1 [21] [8] Florêncio 2007 25 6.5 3 4.28% [5] 2011 19.4 3.1 [23] [1][3][12] [18] Copyright is held by the author(s). Toshiyuki Masui, [25] [2][19] EpisoPass
main.dvi
1 1 1 2 3 LDA Estimating and Analyzing a Domain Topic Model of Entries Kensaku Makita 1 Hiroko Suzuki 1 Daichi Koike 1 Takehito Utsuro 2 Yasuhide Kawada 3 Abstract: In order to address the issue of quickly
本文／講演２
16 NHK R&D/No.146/2014.8 Data Storage Data processing 10 7 10 3 10 3 Data generation NHK R&D/No.146/2014.8 17 18 NHK R&D/No.146/2014.8 NHK R&D/No.146/2014.8 19 20 NHK R&D/No.146/2014.8 Nowcasting Forecasting
理工ジャーナル ２３‐１☆／１．外村
Yoshinobu TONOMURA Professor, Department of Media Informatics 1 10 YouTube 2 1900 100 1 3 2 3 3 3 1 2 3 4 90 1 90 MIT Project Athena 1983 1991 2 3 4 5 6 7 8 9 10 2 90 11 12 7 13 14 15 16 17 18 19 390 5
Introduction to Information and Communication Technology (a)
Introduction to Information and Communication Technology (a) 5 th week: 1.4 Transmission, exchange and evaluation of information Kazumasa Yamamoto Dept. Computer Science & Engineering Introduction to ICT(a)
2009/9 Vol. J92 D No. 9 HTML [3] Microsoft PowerPoint Apple Keynote OpenOffice Impress XML 4 1 (A) (C) (F) 2. 2. 1 1484 Fig. 1 1 An example of slide i
![2009/9 Vol. J92 D No. 9 HTML [3] Microsoft PowerPoint Apple Keynote OpenOffice Impress XML 4 1 (A) (C) (F) 2. 2. 1 1484 Fig. 1 1 An example of slide i](/thumbs/39/20176621.jpg "2009/9 Vol. J92 D No. 9 HTML [3] Microsoft PowerPoint Apple Keynote OpenOffice Impress XML 4 1 (A) (C) (F) 2. 2. 1 1484 Fig. 1 1 An example of slide i")
a) Structure Extraction from Presentation Slide Information Tessai HAYAMA a), Hidetsugu NANBA, and Susumu KUNIFUJI Web 1. Web Graduate School of Knowledge Science, Japan Advanced Institute of Science and
DEIM Forum 2010 A Web Abstract Classification Method for Revie
DEIM Forum 2010 A2-2 305 8550 1 2 305 8550 1 2 E-mail: s0813158@u.tsukuba.ac.jp, satoh@slis.tsukuba.ac.jp Web Abstract Classification Method for Reviews using Degree of Mentioning each Viewpoint Tomoya
10-1.indd
NO.1362 2 3 イキイキけんこう 塾 イキイキけんこう 塾 4 5!#$%&{< } 消 費 者 のまど お 知 らせ!# { < >! #$ }!# $ % { >!# $% ! &, {! &,,{
DEIM Forum 2014 B Twitter Twitter Twitter 2006 Twitter 201
DEIM Forum 2014 B2-4 305 8550 1 2 305 8550 1 2 E-mail: {yamaguchi,yamahei,satoh}@ce.slis.tsukuba.ac.jp Twitter Twitter 2 1 1. Twitter 2006 Twitter 2012 5 [1]Twitter RT RT Twitter Twitter RT Twitter 2 1