Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IBISML |
2023-12-21 15:25 |
Tokyo |
National Institute of Informatics (Primary: On-site, Secondary: Online) |
A linear time approximation of Wasserstein distance with word embedding selection Sho Otao (Kyoto Univ.), Makoto Yamada (OIST) IBISML2023-38 |
Wasserstein distance, which can be computed by solving the optimal transport problem, is a powerful method for measuring... [more] |
IBISML2023-38 pp.50-57 |
NLC, IPSJ-NL |
2023-03-18 15:40 |
Okinawa |
OIST (Primary: On-site, Secondary: Online) |
An Experimental Analysis of Sub-tasks for Multi-task Learning-based Text Classification Yusuke Kimura (Doshisha Univ.), Takahiro Komamizu (Nagoya Univ.), Kenji Hatano (Doshisha Univ.) NLC2022-26 |
Multi-task learning, in which a phrase extraction such as key phrase extraction and named entity extraction is chosen fo... [more] |
NLC2022-26 pp.38-43 |
DE, IPSJ-DBS, IPSJ-IFAT [detail] |
2022-09-10 14:00 |
Toyama |
Toyama Prefectural Hall (Primary: On-site, Secondary: Online) |
An Analysis of Stopwords in Document Classification Tasks with BERT Yuki Kuwabara, Yu Suzuki (Gifu Univ.) DE2022-14 |
When researchers classify documents, they sometimes use stopwords to improve accuracy without checking their effectivene... [more] |
DE2022-14 pp.41-46 |
CW (2nd) |
2022-03-11 |
  |
|
Automatic Classification of Editorial Yusuke Okawa, Shusuke Okamoto (Seikei Univ.) |
Newspaper carries editorials. An editorial is a kind of article which maintains the newspaper company’s opinions to some... [more] |
|
NLC |
2021-02-18 10:30 |
Online |
Online |
Classification of disaster tweets for damage assessment, and improvement by feature analysis Yuto Oikawa, Ptaszynski Michal, Fumito Masui (KIT) NLC2020-22 |
In extracting tweets useful in rescue missions during disasters, previous research have focused on extracting tweets con... [more] |
NLC2020-22 pp.7-12 |
NS, IN (Joint) |
2020-03-06 11:00 |
Okinawa |
Royal Hotel Okinawa Zanpa-Misaki (Cancelled but technical report was issued) |
To Evaluate the Benefits of Compound Words for Determining if a Test Case is Necessary using Support Vector Machine Satoshi Sunaga, Kazuhiro Kikuma (NTT), Shota Inokoshi, Koki Sato, Kiyoshi Ueda (Nihon Univ.) NS2019-226 |
Communication software used for Next Generation Network (NGN) etc.
requires high reliability and therefore adopts many... [more] |
NS2019-226 pp.271-276 |
NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-04 11:15 |
Tokyo |
NHK Science & Technology Research Labs. |
Shiori Koga (Kyushu Univ.), Tsunenori Mine (kyushu Univ.), Sachio Hirokawa (Kyushu Univ.) NLC2019-31 |
Among RNNs, especially LSTM is capable of long-term memory and can be expected to acquire information including better c... [more] |
NLC2019-31 pp.13-18 |
AI |
2019-11-28 15:15 |
Fukuoka |
|
Effectiveness of feature selection as pre-processing of LSTM using W2V Shiori Koga, Tsunenori Mine, Sachio Hirokawa (Kyushu Univ.) AI2019-34 |
Among RNNs, especially LSTM is capable of long-term memory, and can be expected to acquire information including better ... [more] |
AI2019-34 pp.25-30 |
ET |
2019-11-09 11:05 |
Hiroshima |
Hiroshima City University |
Shinya Seki, Kazuaki Ando (Kagawa Univ) ET2019-50 |
NIE (Newspaper in Education) is an educational approach that utilizes newspaper as teaching materials in classes. It is ... [more] |
ET2019-50 pp.17-20 |
IT, ISEC, WBS |
2019-03-07 09:55 |
Tokyo |
University of Electro-Communications |
Exploring Malicious URL in Dark Web Using Tor Crawler Yuki Kawaguchi, Seiichi Ozawa (Kobe Univ.) IT2018-76 ISEC2018-82 WBS2018-77 |
In recent years, various web-based attacks such as Drive-by-Download attacks are becoming serious. To protect legitimate... [more] |
IT2018-76 ISEC2018-82 WBS2018-77 pp.7-12 |
SS |
2019-03-04 14:45 |
Okinawa |
|
Machine learning based requirements description analysis technique for creating backlogs Ryo Ishizuka, Hironori Washizaki (Waseda Univ.), Shinobu Saito, saori ouji (NTT SIC) SS2018-62 |
A large amount of demands are sent by users during systems operation. The project manager should identify the features r... [more] |
SS2018-62 pp.61-66 |
IN, NS (Joint) |
2019-03-05 15:40 |
Okinawa |
Okinawa Convention Center |
Main Part-of-speech Selection for Verification Necessity Determination by Support Vector Machine Satoshi Sunaga, Koji Hoshino, Kazuhiro Kikuma (NTT), Koki Jimbo, Koki Satoh, Kiyoshi Ueda (NIHON Univ.) NS2018-288 |
Communication software used for Next Generation Network (NGN) etc.
requires high reliability and therefore adopts many... [more] |
NS2018-288 pp.545-550 |
AI |
2018-12-07 13:00 |
Fukuoka |
|
Feature Selection for Document Classification focused on Support Vector Kota Sakasegawa, Sachio Hirokawa (Kyushu Univ.) AI2018-25 |
Feature selection is a well-known approach for improving the prediction performance of document classifcation, where cru... [more] |
AI2018-25 pp.1-4 |
CQ, ICM, NS, NV (Joint) |
2018-11-16 12:20 |
Ishikawa |
|
A Method of Verification Necessity Determination using Support Vector Machine Satoshi Sunaga, Koji Hoshino, Kazuhiro Kikuma (NTT), Koki Jimbo, Koki Satoh, Kiyoshi Ueda (NIHON Univ.) NS2018-147 |
Since communication software typified by Next Generation Network (NGN)
is required to have high reliability, it incorp... [more] |
NS2018-147 pp.99-104 |
CAS, MSS, IPSJ-AL [detail] |
2017-11-16 16:05 |
Tokyo |
|
Document classification on unknown class using transfer learning Masato Shirai (Shimane Univ.), Jianquan Liu (NEC) CAS2017-48 MSS2017-32 |
In this investigation, we propose a new classification method based on transfer learning to classify new classes without... [more] |
CAS2017-48 MSS2017-32 pp.51-56 |
NLC |
2016-09-08 11:00 |
Tokyo |
Convention Room AP Shibuya-Dogenzaka (Tokyo) |
Development of Chinese social media texts classification system to support reporting Takeshi Sakaki, Sakae Mizuki, Santi Saeyor (Hottolink) NLC2016-15 |
(Advance abstract in Japanese is available) [more] |
NLC2016-15 pp.13-18 |
NC, NLP |
2013-01-24 13:10 |
Hokkaido |
Hokkaido University Centennial Memory Hall |
Text Classification Using Context-Tree Weighting Algorithm for Semi-Supervised Leaning Tomohiro Obata, Manabu Kobayashi, Yoshihiko Sakashita (Shonan Inst. of Tech.) NLP2012-112 NC2012-102 |
The Text Classification problem has been investigated by various techniques, such as a vector space model, a support vec... [more] |
NLP2012-112 NC2012-102 pp.49-53 |
IBISML |
2012-11-07 15:30 |
Tokyo |
Bunkyo School Building, Tokyo Campus, Tsukuba Univ. |
A Proposal of Adaptive Metric Learning Using Category information for Text Classification Kenta Mikawa, Takashi Ishida, Masayuki Goto, Shigeichi Hirasawa (Waseda Univ.) IBISML2012-45 |
Extended cosine measure has been proposed as one of the method of metric learning which learns metric matrix
expressin... [more] |
IBISML2012-45 pp.83-88 |
PRMU |
2011-11-25 11:45 |
Nagasaki |
|
Discriminant performance of a method of distinguish between handwritten and machine-printed character regions using Hough transfrom Yuya Konno (FX), Akira Hirose (Univ. of Tokyo) PRMU2011-118 |
Previously we proposed a Hough-transform-based quick method to distinguish handwritten and printed character domains in ... [more] |
PRMU2011-118 pp.111-116 |
NLP |
2011-11-11 09:10 |
Okinawa |
Miyako Island Marine Terminal |
Text Classification Using Context-Tree Weighting Algorithm Tomohiro Obata, Hiroyuki Ikegami, Manabu Kobayashi, Yoshihiko Sakashita (SIT) NLP2011-110 |
The Text Classification problem has been investigated by various techniques, such as a vector space model, a support vec... [more] |
NLP2011-110 pp.103-108 |