Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU, IBISML, IPSJ-CVIM [detail] |
2023-03-02 10:55 |
Hokkaido |
Future University Hakodate (Primary: On-site, Secondary: Online) |
Report on the 3rd Lip-Reading Challenge Takeshi Saitoh (Kyutech), Yuto Goto, Hiroyuki Nagano, Akihiro Kato, Masaki Nose (RICOH), Naoki Hiramoto (Mercoin), Tomohiro Hattori, Shiiya Aoyama, Yusuke Katoh, Ryuta Toshima, Takumi Nagawaki, Satoshi Tamura (Gifu University), Daiki Arakane (Kyutech) PRMU2022-76 IBISML2022-83 |
There is a machine lip-reading technology that uses a computer to estimate the utterance content using only visual infor... [more] |
PRMU2022-76 IBISML2022-83 pp.97-101 |
NLC |
2022-09-13 15:30 |
Kanagawa |
Keio Univ. Yagami Campus. (Primary: On-site, Secondary: Online) |
Extraction of sentences representing company-specific competitive advantages from integrated reports Yuta Sugawara, Hiroyuki Sakai, Kengo Enami (Seikei), Kaito Takano, Kei Nakagawa (Nomura Asset Management) NLC2022-7 |
In this research, we propose a method for extracting sentences representing company-specific competitive advantages from... [more] |
NLC2022-7 pp.13-18 |
NLC |
2022-03-07 11:05 |
Online |
Online |
Sightseeing spot detection and automatic generation of explanations using Flickr Hanami Ookada (Hiroshima City Univ.), Aya Ishino (HUE), Toshiyuki Takezawa (Hiroshima City Univ.) NLC2021-30 |
Using travel photos with latitude and longitude information in Flickr and image recognition technology, we conducted a s... [more] |
NLC2021-30 pp.13-18 |
NC, MBE (Joint) |
2018-12-15 15:15 |
Aichi |
Nagoya Institute of Technology |
Improved accuracy of sentence classification using recurrent neural networks Mitsuhiro Komuro, Yuji Sato (HU) NC2018-36 |
Recently various dialogue assistant products have appeared. On one hand, many of them cannot deal with flexible dialogue... [more] |
NC2018-36 pp.47-50 |
TL |
2018-06-17 18:00 |
Hyogo |
Kobe Gakuin University (Port Island Campus) |
Effect of specifying the number of word occurrence in identification of specific text description Yuki Okumura, Atsushi Moriyasu (OECU), Sachio Hirokawa (Kyusyu Univ.), Kazuhiro Takeuchi (OECU) TL2018-10 |
Occurrence information of specific words is known as useful features for text classification.
In this paper, we conside... [more] |
TL2018-10 pp.53-56 |
ET |
2018-01-27 16:05 |
Hyogo |
Kobe Univ. |
Study on Classification method of Unclear Sentences based on Structural Indicator of Sentence Hiroyuki Oono (Tokyo Healthcare Univ.), Hiroshige Inazumi (Aoyama Gakuin Univ.) ET2017-88 |
In this paper, we investigate the cause of the unclear sentence by the structural features of the sentence.First of all,... [more] |
ET2017-88 pp.45-50 |
NLC, IPSJ-IFAT |
2017-02-09 10:40 |
Osaka |
|
Recognizing Textual Entailment with Dependency-Parsed Structure Taking into Account Copular Sentence Akira Saito, Koichi Takeuchi (Okayama Univ.) NLC2016-40 |
In the previous study of recognizing textual entailment, content word matching based approaches are often applied into r... [more] |
NLC2016-40 pp.1-5 |
IE, IMQ, MVE, CQ (Joint) [detail] |
2016-03-07 15:00 |
Okinawa |
|
Text region detection and recognition in manga Yuji Aramaki, Yusuke Matsui, Toshihiko Yamasaki, Kiyoharu Aizawa (UTokyo) IMQ2015-41 IE2015-140 MVE2015-68 |
In this paper, we develop a method to detect and recognize text regions in manga. The proposed detection method combined... [more] |
IMQ2015-41 IE2015-140 MVE2015-68 pp.73-78 |
NLC |
2012-08-30 13:40 |
Kanagawa |
Fuji Xerox |
Extraction of Sentences Describing Problems from Sales Force Management System Texts. Daigo Sugihara, Tomoko Ohkuma, Koji Satake, Yasuhide Miura, Keigo Hattori, Hiroshi Masuichi (Fuji Xerox) NLC2012-11 |
Sales persons are recommended to know customers' problems, because knowing customers' problems will lead to better propo... [more] |
NLC2012-11 pp.7-12 |
NLC |
2011-01-27 15:50 |
Ishikawa |
Kanazawa Univ. |
Text mining system STM based on semantic analysis Minoru Harada, Ryou Ishida, Kazuhiro Yamanishi, Yoshiki Kanda (Aoyama Gakuin Univ.) NLC2010-35 |
Current text mining based on the analysis on surface information of the morpheme and dependency among words cannot under... [more] |
NLC2010-35 pp.29-34 |
NLC |
2008-02-07 13:30 |
Niigata |
Yuzawa Culture Center |
Use of Syntactic Peaces to Extract Opinions without Identifying Domains Suguru Aoki, Kazuhide Yamamoto (Nagaoka Univ. of Technology) NLC2007-88 |
In this paper, we propose a opinion extraction method using a notion of syntactic piece. Syntactic piece is a minimum un... [more] |
NLC2007-88 pp.7-12 |