Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NLP, MSS |
2023-03-17 13:50 |
Nagasaki |
(Primary: On-site, Secondary: Online) |
An analysis on backbone structure of word co-occurrence networks Shoudai Tazawa, Yutaka Shimada (Saitama Univ.) MSS2022-102 NLP2022-147 |
Complex networks observed in the real world contain strongly connected vertex pairs. A set of such vertex pairs and thei... [more] |
MSS2022-102 NLP2022-147 pp.186-191 |
NLC, IPSJ-NL, SP, IPSJ-SLP [detail] |
2021-12-03 16:10 |
Online |
Online |
Label smoothing with co-occurrences information for multi-label classification Yuki Yasuda, Taichi Ishiwatari, Taro Miyazaki, Jun Goto (NHK) NLC2021-27 SP2021-48 |
Imbalanced learning is one of the big issues in multi-label classification task. Training models using such imbalanced d... [more] |
NLC2021-27 SP2021-48 pp.48-53 |
SeMI, IPSJ-MBL, IPSJ-UBI |
2020-03-02 10:10 |
Online |
Online |
Co-occurrence of Action and Emotion Using Life Log Yutaka Yoshida (Nagoya City Univ.), Emi Yuda (Tohoku Univ.), Junichiro Hayano (Nagoya City Univ.) SeMI2019-119 |
Using the life log, we visualized the relationship between action and emotion obtained in daily life for 30 days using t... [more] |
SeMI2019-119 pp.1-3 |
CAS, ICTSSL |
2019-01-25 10:25 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Analysis of Tweets Posted in 2018 Typhoon Jebi Disaster Sanetoshi Yamada, Keisuke Utsu, Osamu Uchida (Tokai Univ.) CAS2018-129 ICTSSL2018-48 |
To minimize damage during disasters, the rapid collection and delivery of accurate information are essential. Because of... [more] |
CAS2018-129 ICTSSL2018-48 pp.63-68 |
AI, JSAI-KBS, JSAI-DOCMAS, JSAI-SAI, IPSJ-ICS |
2018-03-02 16:20 |
Hokkaido |
|
The Co-occurrence Link Concept-Base Construction Method using Wikipedia Kazuaki Nagao, Seiji Tsuchiya, Hirokazu Watabe (Doshisya) AI2017-47 |
In order to make common sense judgment, it is necessary for a computer to be able to judge the relationship between a wo... [more] |
AI2017-47 pp.25-30 |
ET |
2016-03-05 11:10 |
Kagawa |
Kawaga Univ. (Saiwai-cho Campus) |
Co-Occurrence Corpus Based on Parsing of Phrase Structure and Dependency Structure for Second Language Writing Hou Riku, Yasuo Miyoshi (Kochi Univ.) ET2015-114 |
In this research, the example sentences that match the intended want to tell at the time of the second language writing ... [more] |
ET2015-114 pp.115-118 |
PRMU |
2014-03-14 11:45 |
Tokyo |
|
Image Retrieval Based on Group Photo Database Organization Yujiro Nakai, Naoko Nitta, Noboru Babaguchi (Osaka Univ.) PRMU2013-200 |
Socially related people such as family or friends often take their photos together.
This paper proposes an efficient ... [more] |
PRMU2013-200 pp.191-196 |
CS, IPSJ-AVM, ITE-BCT, IE [detail] |
2011-12-16 15:15 |
Aichi |
Nagoya Univ. |
Rotation and scale-invariant local feature based on co-occurrence of edge gradient and its application to general object recognition Yoshihiko Kawai, Mahito Fujii (NHK) CS2011-78 IE2011-102 |
A bag-of-visual-words method based on a frequency histogram of local features is widely used for detecting general objec... [more] |
CS2011-78 IE2011-102 pp.139-144 |
IBISML |
2011-11-09 15:45 |
Nara |
Nara Womens Univ. |
Extraction of Damage Patterns of a Fuel Cell by Clustering Considering Co-occurrence between Events Daiki Inaba, Ken-ichi Fukui (Osaka Univ.), Kazuhisa Sato, Junichirou Mizusaki (Tohoku Univ.), Masayuki Numao (Osaka Univ.) IBISML2011-59 |
Solid oxide fuel cell (SOFC) is an efficient generator and researched for practical use. However, one of the problems is... [more] |
IBISML2011-59 pp.113-122 |
AI |
2008-06-30 16:55 |
Tokyo |
Kwansei Gakuin University, Tokyo Marunouchi Campus |
Automatic Extraction of Related Term Networks from FAQ Sites Tomonori Yoshida, Motohiro Mase, Yasuhiko Kitamura (Kwansei Gakuin Univ.) AI2008-13 |
This paper describes a method to extract related term network which shows relationships of terms from word-of-mouth info... [more] |
AI2008-13 pp.75-80 |
TL |
2007-12-14 13:30 |
Tokyo |
Tokyo University of Technology |
Extraction of the term having the explicit relation Katsutoshi Hisazumi, Ryosuke Sumitomo, Seiji Tsuchiya, Fuji Ren (Tokushima Univ.) TL2007-46 |
This paper present an extraction method based on terms have the explicit relations. Usually, it is difficule to extract ... [more] |
TL2007-46 pp.31-36 |
NLC |
2007-01-31 16:00 |
Hokkaido |
Sapporo Convention Center |
Extraction of Hierarchical Relations among Words Based on Co-occurrences between Words and Semantic Attributes Katsuji Bessho, Toshio Uchiyama, Ryoji Kataoka (NTT) |
The co-occurrence vectors that are the co-occurrence frequencies between words and semantic attributes in a corpus refle... [more] |
NLC2006-92 pp.31-36 |