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 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2023-06-30 14:20 |
Okinawa |
OIST Conference Center (Primary: On-site, Secondary: Online) |
Analogy Tasks in BioConceptVec using Biological Pathways Hiroaki Yamagiwa, Ryoma Hashimoto (Kyoto Univ.), Kiwamu Arakane, Ken Murakami (IPR), Momose Oyama, Hidetoshi Shimodaira (Kyoto Univ.), Mariko Okada (IPR) NC2023-18 IBISML2023-18 |
Natural language processing (NLP), often employing models like skip-gram, is widely utilized across numerous application... [more] |
NC2023-18 IBISML2023-18 pp.113-120 |
NLC |
2022-09-13 13:20 |
Kanagawa |
Keio Univ. Yagami Campus. (Primary: On-site, Secondary: Online) |
Estimation of related keywords based on distributed representation of words and semantic vector operations Osamu Segawa (Chubu Electric Power), Kazuhiko Murakami (Chuden CTI) NLC2022-4 |
Formerly, in a text-mining task, several methods based on distribution of words using co-occurrence in observation windo... [more] |
NLC2022-4 pp.1-4 |
IBISML |
2020-03-11 10:10 |
Kyoto |
Kyoto University (Cancelled but technical report was issued) |
Sentence Visualization Based on Relative Sentence Embeddings Haruya Ishizuka (Bridgestone Corp.), Daichi Mochihashi (ISM) IBISML2019-42 |
Sentence visualization is important for a organization, such as company or government, since it facilitates to understan... [more] |
IBISML2019-42 pp.63-70 |
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 |
WIT, SP |
2019-10-27 09:20 |
Kagoshima |
Daiichi Institute of Technology |
Word Recognition using word likelihood vector from speech-imagery EEG Satoka Hirata, Yurie Iribe (Aichi Prefectual Univ.), Kentaro Fukai, Kouichi Katsurada (Tokyo Univ. of Science), Tsuneo Nitta (Waseda Univ./Toyohashi Univ. of Tech.) SP2019-29 WIT2019-28 |
Previous research suggests that humans manipulate the machine using their electroencephalogram called BCI (Brain Compute... [more] |
SP2019-29 WIT2019-28 pp.69-73 |
NLC, IPSJ-DC |
2019-09-28 17:30 |
Tokyo |
Future Corporation |
Estimating Distributed Expressions of Unknown Compound Word Using Distributed Expressions of Known Words Ryota Takagi, Kazuhiro Kazama (Wakayama Univ), Takeshi Sakaki (Hotto Link) NLC2019-27 |
In recent years, the distributed expression, which treats the meaning of a word as a low-dimensional vector expression, ... [more] |
NLC2019-27 pp.103-108 |
DE |
2019-06-22 10:50 |
Tokyo |
|
Efficient Similar Document Search over Encrypted Data On the Cloud Daisuke Aritomo (Univ. of Tsukuba), Chiemi Watanabe (NTUT) DE2019-7 |
More and more data owners are building information retrieval systems on cloud computing platforms, which provides scalab... [more] |
DE2019-7 pp.29-34 |
SC |
2019-06-01 11:30 |
Ibaraki |
National Institute for Materials Science |
Jointly Embedding Knowledge Graph and Feature in Vector Space Tomu Kadoki, Runhe Huang, Satoru Fujita (Hosei Univ.) SC2019-10 |
Knowledge Graph, utilized in search engine, can be embed in a low dimensional vector space with knowledge graph embeddin... [more] |
SC2019-10 pp.55-60 |
IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-15 09:50 |
Kagoshima |
Kagoshima University |
Word Categorization for Estimating Communication Quality by the Use of SNS Takaaki Kirikae (Waseda Univ.), Kyoko Yamori (Asahi Univ./Waseda Univ.), Yoshiaki Tanaka (Waseda Univ.) CQ2018-108 |
QoE which is the user experience of communication quality, depends on application, user circumstances, user's purpose, e... [more] |
CQ2018-108 pp.87-90 |
EA, SIP, SP |
2019-03-15 13:30 |
Nagasaki |
i+Land nagasaki (Nagasaki-shi) |
[Poster Presentation]
Simultaneous Japanese Flexible-Keyword Detection and Speaker Recognition for Low-Resource Devices Hiroshi Fujimura (TOSHIBA) EA2018-157 SIP2018-163 SP2018-119 |
We propose a novel method of simultaneous keyword detection and speaker recognition for low resource devices in this stu... [more] |
EA2018-157 SIP2018-163 SP2018-119 pp.341-346 |
NC, MBE (Joint) |
2019-03-04 13:25 |
Tokyo |
University of Electro Communications |
Approximation of inverse embedding function using neural network, and its application for the interpretation of document data distribution Yuya Mizobuchi, Hirotaka Hachiya (Wakayama Univ.) NC2018-54 |
Recently, analysing the relation between human and compnies based those related documents such as tweets and web pages.
... [more] |
NC2018-54 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 |
NLC, IPSJ-IFAT |
2019-02-08 15:50 |
Kyoto |
Ryukoku University Omiya Campus |
Change Point Detection of Word Senses by Analyzing Word Vectors Generated by Random Indexing Masahiro Ishikawa (Takasaki Univ. of H. and W.) NLC2018-49 |
Massive amount of user-generated text has already been accumulated on the web. Such texts are utilized in many domains. ... [more] |
NLC2018-49 pp.75-79 |
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 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
Transfer Learning Among Time Series Data Hao Niu, Kei Yonekawa, Mori Kurokawa, Arei Kobayashi (KDDI Research) IBISML2018-101 |
Time series data are widely used in various fields, and the machine learning on the time series data attracts much resea... [more] |
IBISML2018-101 pp.425-428 |
PRMU, SP |
2018-06-29 11:30 |
Nagano |
|
Mapping Acoustic Vector Sequence to Document Vector Based on RNN Ryota Nishimura, Miho Higaki, Norihide Kitaoka (Tokushima Univ.) PRMU2018-32 SP2018-12 |
In this research, we propose a method of searching between different media (cross media mapping) using deep learning (Ma... [more] |
PRMU2018-32 SP2018-12 pp.59-64 |
AI, JSAI-KBS, JSAI-DOCMAS, JSAI-SAI, IPSJ-ICS |
2018-03-03 11:30 |
Hokkaido |
|
The Method of Measuring the Degree of Association between Concepts using Concept-base and Word2Vec Takuya Sera, Seiji Tsuchiya, Hirokazu Watanabe (Doshisya) AI2017-50 |
In order to make communication between computer and human more natural, computer needs to retain knowledge of the human ... [more] |
AI2017-50 pp.43-48 |
IN |
2018-01-22 13:00 |
Aichi |
WINC AICHI |
Research on Improvement of Information Platform for Local Tourism by Paragraph Vector Utilizing Diverse Information Takeshi Tsuchiya, Shihori Aoyagi, Tadashi Miyosawa, Tetsuyasu Yamada, Hiroo Hirose (TUS,Suwa), Hiroaki Sawano (AIT), Keiichi Koyanagi (Waseda University) IN2017-74 |
We discuss and propose retrieval manner for local tourism information of Suwa area in Nagano Pref. crawled over the Inte... [more] |
IN2017-74 pp.25-30 |
DE, CEA, IPSJ-DBS |
2017-12-23 11:50 |
Tokyo |
National Institute of Informatics |
Detection of mergeable Wikipedia articles based on multiple embedding results Renzhi Wang, Mizuho Iwaihara (Waseda U.) DE2017-35 |
Wikipedia is the largest online encyclopedia, in which articles are edited by different volunteers with different though... [more] |
DE2017-35 pp.79-83 |