Vol. 9 No. 5 Oct. 2002 (?,?) 2000 6 5 6 2 3 6 4 5 2 A B C D 132



Similar documents
IPSJ-TOD

( )



untitled

18年度石見美術館年報最終.indd

C O N T E N T S Annual Report

3131_2014_02.pdf

2012_00表紙

_314I01BM浅谷2.indd

/4 2012

C O N T E N T S 1

08-特集04.indd

TF-IDF TDF-IDF TDF-IDF Extracting Impression of Sightseeing Spots from Blogs for Supporting Selection of Spots to Visit in Travel Sat

IPSJ SIG Technical Report Vol.2011-EC-19 No /3/ ,.,., Peg-Scope Viewer,,.,,,,. Utilization of Watching Logs for Support of Multi-

p6-18/村松様

やまびこ60.indd


1 1 tf-idf tf-idf i

Ⅰ 介護を要する高齢者のための住宅改修相談の概要

[1] [3]. SQL SELECT GENERATE< media >< T F E > GENERATE. < media > HTML PDF < T F E > Target Form Expression ( ), 3.. (,). : Name, Tel name tel

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

自然言語処理21_249

1_26.dvi

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

1 Web [2] Web [3] [4] [5], [6] [7] [8] S.W. [9] 3. MeetingShelf Web MeetingShelf MeetingShelf (1) (2) (3) (4) (5) Web MeetingShelf

( )

IPSJ SIG Technical Report Vol.2009-DPS-141 No.20 Vol.2009-GN-73 No.20 Vol.2009-EIP-46 No /11/27 1. MIERUKEN 1 2 MIERUKEN MIERUKEN MIERUKEN: Spe

Research 2 Vol.81, No.22013

Vol.54 No (July 2013) [9] [10] [11] [12], [13] 1 Fig. 1 Flowchart of the proposed system. c 2013 Information

Fig. 3 3 Types considered when detecting pattern violations 9)12) 8)9) 2 5 methodx close C Java C Java 3 Java 1 JDT Core 7) ) S P S

IPSJ SIG Technical Report Secret Tap Secret Tap Secret Flick 1 An Examination of Icon-based User Authentication Method Using Flick Input for

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

& Vol.5 No (Oct. 2015) TV 1,2,a) , Augmented TV TV AR Augmented Reality 3DCG TV Estimation of TV Screen Position and Ro

17 Proposal of an Algorithm of Image Extraction and Research on Improvement of a Man-machine Interface of Food Intake Measuring System

(2008) JUMAN *1 (, 2000) google MeCab *2 KH coder TinyTextMiner KNP(, 2000) google cabocha(, 2001) JUMAN MeCab *1 *2 h

セレンディピティによる 独創的加工技術開発


skeiji.final.dvi

No. 3 Oct The person to the left of the stool carried the traffic-cone towards the trash-can. α α β α α β α α β α Track2 Track3 Track1 Track0 1

syuu_2_10_3.dvi

ルール&マナー集_社内版)_修正版.PDF

<> <name> </name> <body> <></> <> <title> </title> <item> </item> <item> 11 </item> </>... </body> </> 1 XML Web XML HTML 1 name item 2 item item HTML

¥ì¥·¥Ô¤Î¸À¸ì½èÍý¤Î¸½¾õ

& Vol.2 No (Mar. 2012) 1,a) , Bluetooth A Health Management Service by Cell Phones and Its Us

56

29 jjencode JavaScript

2010J_web_cover

5

ネットワーク化するデジタル情報家電の動向

3807 (3)(2) ,267 1 Fig. 1 Advertisement to the author of a blog. 3 (1) (2) (3) (2) (1) TV 2-0 Adsense (2) Web ) 6) 3

HASC2012corpus HASC Challenge 2010,2011 HASC2011corpus( 116, 4898), HASC2012corpus( 136, 7668) HASC2012corpus HASC2012corpus

dsample.dvi

main.dvi

日本感性工学会論文誌

IPSJ SIG Technical Report Vol.2009-DBS-149 No /11/ Bow-tie SCC Inter Keyword Navigation based on Degree-constrained Co-Occurrence Graph

The copyright of this material is retained by the Information Processing Society of Japan (IPSJ). The material has been made available on the website

: ( 1) () 1. ( 1) 2. ( 1) 3. ( 2)

TheRecord.indd

Vol. 23 No. 4 Oct Kitchen of the Future 1 Kitchen of the Future 1 1 Kitchen of the Future LCD [7], [8] (Kitchen of the Future ) WWW [7], [3

Cognitive Studies, 1(1), (May 1994) : The present paper discusses the creative design process using the conceptual combination task. As factors

2013 Future University Hakodate 2013 System Information Science Practice Group Report biblive : Project Name biblive : Recording and sharing experienc

,,,,., C Java,,.,,.,., ,,.,, i

IT,, i

1 AND TFIDF Web DFIWF Wikipedia Web Web AND 5. Wikipedia AND 6. Wikipedia Web Ma [4] Ma URL AND Tian [8] Tian Tian Web Cimiano [3] [

kut-paper-template.dvi


TA3-4 31st Fuzzy System Symposium (Chofu, September 2-4, 2015) Interactive Recommendation System LeonardoKen Orihara, 1 Tomonori Hashiyama, 1


Core Ethics Vol. QOL N N N N N N N K N N


表1-4.ai

22 Google Trends Estimation of Stock Dealing Timing using Google Trends

プログラム・抄録集.indd

pp R R Word R R R R Excel SPSS R Microsoft Word 2016 OS Windows7 Word2010 Microsoft Office2010 R Emacs ESS R R R R https:

[2] OCR [3], [4] [5] [6] [4], [7] [8], [9] 1 [10] Fig. 1 Current arrangement and size of ruby. 2 Fig. 2 Typography combined with printing

untitled

ÿþ

IPSJ SIG Technical Report Vol.2017-SLP-115 No /2/18 1,a) 1 1,2 Sakriani Sakti [1][2] [3][4] [5][6][7] [8] [9] 1 Nara Institute of Scie

(a) (b) 1 JavaScript Web Web Web CGI Web Web JavaScript Web mixi facebook SNS Web URL ID Web 1 JavaScript Web 1(a) 1(b) JavaScript & Web Web Web Webji

.Z.p...\...X.g

.Z.p...\...X.g2007

2000年11月21日

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]

南山会報88入稿.indd

untitled

. Yahoo! 1!goo 2 QA..... QA Web Web [1]Web Web Yin [2] Web Web Web. [3] Web Wikipedia 1 2

kut-paper-template2.dvi

IPSJ SIG Technical Report Vol.2017-CLE-21 No /3/21 e 1,2 1,2 1 1,2 1 Sakai e e e Sakai e Current Status and Challenges on e-learning T


1 1 CodeDrummer CodeMusician CodeDrummer Fig. 1 Overview of proposal system c

chisq.test corresp plot

!


Lite 2 45 ECHONET Lite ECHONET Lite [2], [3], [4], [5], [6], [7] IoT WoT Web [8] HEMS [9] ECHONET Lite ECHONET Lite ECHONET Lite ECHONET Lite ECHONET

untitled

2 : Open Clip Art Library [4] Microsoft Office PowerPoint Web PowerPoint 2 Yahoo! Web [5] SlideShare Yahoo! Web Yahoo! Web

Bulletin of JSSAC(2014) Vol. 20, No. 2, pp (Received 2013/11/27 Revised 2014/3/27 Accepted 2014/5/26) It is known that some of number puzzles ca

1. [5] Wikipedia 4. ( ) Wikipedia 5. 3 ( ) ( ) ( ) Wikipedia ( ) ( ) 2.2 Global Database of Events, Language and Tone (GDELT) Global Datab

IPSJ SIG Technical Report Vol.2014-GN-90 No.16 Vol.2014-CDS-9 No.16 Vol.2014-DCC-6 No /1/24 1,a) 2,b) 2,c) 1,d) QUMARION QUMARION Kinect Kinect

Transcription:

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 language processing technologies to automatically produce a program for the sixth annual meeting of the Association for Natural Language Processing. In this paper, we describe experiments used to automatically generate the program using the fifth annual meeting data. We produce the sixth annual meeting program on the basis of the experiments. We report the process of making the sixth annual meeting program in practice and show to what extent the natural language processing technologies are efficient for this task. Furthermore, we show the results of a questionnaire targeting the participants of the sixth annual meeting. KeyWords: keyword extraction, automatic classification 1, Communications Research Laboratory, Nara Institute of Science and Technology

Vol. 9 No. 5 Oct. 2002 (?,?) 2000 6 5 6 2 3 6 4 5 2 A B C D 132

1 B C 2 1 2 1 1 2 2.1 (?) (?) 5 133

Vol. 9 No. 5 Oct. 2002 1: 1 (?) 1 (K-L ) (?) 2 5 1 1 2.2 6 5 5 1 1 [ ] 5 1 5 134

1: 0 989 90 d 0 972 37 d 0 887 50 d 0 839 38 d 0 830 97 d 0 735 9 d 2: ( ) 25 b (0 163) (0 152) (0 126) 18 c,d (0 237) (0 179) (0 156) (?,?) 5 5 6 JUMAN(?) a e a b c d e 2 1,818 5 6 1 2 1 2 2 7 8 135

Vol. 9 No. 5 Oct. 2002 3 4 2.3 5 (?) 6 2.3.1 (?) 3 7 4 2.3 136

5 6 5 7 2 5 3 3 11 5 1 6 3 6 9 1 1 2 3 5 5 11 9 6 5 5 6 5 10 13 9 5 5 5 3 6 7 = + + + 137

Vol. 9 No. 5 Oct. 2002 TITLE /TITLE ABSTRACT /ABSTRACT 2: 2.3.2 2 2 5 8 2 3 8 4 138

3: 3 d 42 d 55 d 70 d 81 d 88 c <APPLICATION> <MAIL-ID>130</MAIL-ID> <TYPE> </TYPE> <TITLE> </TITLE> <AUTHOR id=1> <KANJI> </KANJI> <KANA> </KANA> <AFFILIATION> </AFFILIATION> <NUMBER>123-456-7890</NUMBER> </AUTHOR> <AUTHOR id=2> </AUTHOR> <CATEGORY>d e</category> <APPLIANCE>OHP</APPLIANCE> <ABSTRACT> </ABSTRACT> <ADDRESS> : 651-2492 588-2 : : </ADDRESS> </APPLICATION> 3: 3 6 2 6 2000 3 6 3 9 2.3.1 20 9 9 XML 139

Vol. 9 No. 5 Oct. 2002 4: 40 c 59 c,d 85 c WOZ 102 c 124 c 15 a 25 b 32 b,d 110 a 116 b RFC 117 b 5: 11 c 13 d 12 c 19 c Generating coherent text from finely classified semantic network 39 c 65 d 77 a - (1974) - 83 a FB-LTAG HPSG 91 b 97 d - 98 c 118 a 2000 119 a 121 d 128 c SGLR-plus 130 d,e 131 b 2.3.2 4 1 17 5 4 6 1 140

6: 11 c 13 d 12 c 19 c 39 c 65 d 77 a 83 a 91 b 97 d 98 c 118 a 119 a 121 d 128 c 130 d,e 131 b 10 3 11 12 10 11 12 5 a b c d e 2 104 3 1 102 141

Vol. 9 No. 5 Oct. 2002 7: 10 1 2 3 4 5 6 7 8 9 10 5 4 3 4 6 102 79 7 10 4 4 5 3 8 22 7 3 10 69 2 4 142

8: 3 d 8 b 12 c 19 c Generating coherent text from finely classified semantic network 28 d 35 c 39 c 41 d 42 c LR LR 47 d n-gram IDF 57 c GLR 58 c 65 d 77 a - (1974) - 83 a FB-LTAG HPSG 98 c 101 d 118 a 2000 119 a 125 a,c 129 a 131 b 3 5 5.1 1 2 3 143

Vol. 9 No. 5 Oct. 2002 6 102 29 22 8 5 13 29 22 7 5.2 13 107 79 144

5.3 WWW World Wide Web (?) 6 WWW 1 2 145

Vol. 9 No. 5 Oct. 2002 1999 5 : ACM : 1992 1997 1999 ACL : 1993 1995 1997 1998 ACL : 1994 1996 ACL : 1978 1980 1995 ACL (2001 11 6 ) (2002 6 11 ) (2002 7 17 ) 146