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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 38  /  [Next]  
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
 Results 1 - 20 of 38  /  [Next]  
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