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All Technical Committee Conferences (Searched in: All Years)
| 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 |
| SC | 2023-06-03 11:05 |
Fukushima | UBIC 3D Theater, University of Aizu (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Predicting Depression on Twitter with Word Embedding by Pretrained Language Model Shen Zheqi, Paik Incheon (UoA) SC2023-10 |
Depression is a common mental illness. In the field of Natural Language Processing, the research of how to detect and an... [more] | SC2023-10 pp.53-58 |
| HCS | 2023-01-22 12:35 |
Kyoto | Kyoto Institute of Technology (Primary: On-site, Secondary: Online) |
Comparing Neural Network-Driven Algorithms that Determine Interest Similarity for People-to-people Recommendations Ana Quelhas (KIT), Natsuki Oka (MSU), Kazuaki Tanaka (KIT) HCS2022-67 |
With evolving globalization and interpersonal relationships being forged over digital mediums more and more often, the n... [more] | HCS2022-67 pp.71-76 |
| AI | 2022-09-16 14:10 |
Shizuoka | (Primary: On-site, Secondary: Online) |
Compound Codeword Detection Using Similar Words Between Two Corpora of Microblogs Takuro Hada, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2022-28 |
In recent years, the number of drug trafficking using microblogs has been increasing, which has become a social problem.... [more] | AI2022-28 pp.58-63 |
| DC, CPSY, IPSJ-ARC [detail] | 2021-10-12 11:30 |
Online | Online | An Update Method of Word Embedding using Online Sequential Learning Hibiki Ito, Hiroki Matsutani (Keio Univ.) CPSY2021-17 DC2021-17 |
(To be available after the conference date) [more] | CPSY2021-17 DC2021-17 pp.31-36 |
| NS | 2021-05-13 14:25 |
Online | Online | A Study on Privacy Concerns by Single-Word Search Query Leakage from Web Browsers through Domain Name System Katsuki Isobe, Daishi Kondo, Hideki Tode (OPU) NS2021-18 |
Some web browsers used in some specific computers have a specification that a single-word search query (a word that cont... [more] | NS2021-18 pp.20-25 |
| PRMU | 2020-09-02 10:15 |
Online | Online | PRMU2020-9 |
Our daily life is surrounded by textual information. Nowadays, the automatic collection of textual information becomes p... [more] | PRMU2020-9 pp.7-12 |
| 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 |
| HCS | 2019-10-26 10:40 |
Tokyo | Nihon Univ. | Predicting Personality based on Ad-Request Logs Akihiro Kobayashi, Yuichi Ishikawa (KDDI Research Inc.), Shigeru Kuroyanagi (Supership), Atsunori Minamikawa (KDDI Research Inc.) HCS2019-40 |
Recently role of customers’ personality traits is one of the main topics in advertising technologies. Predicting persona... [more] | HCS2019-40 pp.1-6 |
| NLC, IPSJ-DC | 2019-09-28 17:55 |
Tokyo | Future Corporation | On evaluation of word-embedding models for technical term in space systems Naoko Okubo, Sho Kurahayashi, Kenji Mori, Kohsuke Namihira, Yasushi Ueda, Masafumi Katahira (JAXA), Toshiyuki Amagasa (Unv. Tsukuba) NLC2019-28 |
In this paper, we report the examination result of the method to evaluate the quality of the word-em-bedding models with... [more] | NLC2019-28 pp.109-114 |
| 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 |
| 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 |
| DE, IPSJ-DBS | 2018-12-22 10:00 |
Tokyo | National Institute of Informatics | An Automatic Synchronization Method of Lyrics and Pictures using Word Embedding and Generic Object Recognition Syo Yamaguchi, Daisuke Kitayama (Kogakuin Univ.) DE2018-25 |
Generating and sharing video content has become popular. Some video contents are the slideshow that combines pictures an... [more] | DE2018-25 pp.29-34 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2018-12-11 14:15 |
Tokyo | Waseda Univ. Nishiwaseda Campus | Automatic Extraction of Bilingual Sentences by Similarity based on Earth Mover's Distance using Word Embeddings and Difference of Sentence Length Ryo Tanoue, Hiroshi Echizen'ya (Hokkai-Gakuen Univ.), Kenji Araki (Hokkaido Univ.) NLC2018-30 |
In this paper, we propose new method to automatically extract bilingual sentences from comparable corpus without high qu... [more] | NLC2018-30 pp.3-8 |
| 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 |
| NLC, IPSJ-ICS | 2018-07-06 18:00 |
Hokkaido | Hokkaido University | Automatic Evaluation Method for Machine Translation based on Cross-Lingual Similarity using Word Embeddings without Reference Translation Hiroki Fujikawa (Hokkaido Univ.), Hiroshi Echizenya (Hokkai-Gakuen Univ.), Kenji Araki (Hokkaido Univ.) NLC2018-5 |
We propose a new method for automatic evaluation method for machine translation without reference. Automatic evaluation ... [more] | NLC2018-5 pp.51-56 |
| 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 |
| WIT, SP | 2017-10-19 14:20 |
Fukuoka | Tobata Library of Kyutech (Kitakyushu) | User adaptation of examples for example-based reminiscence therapy spoken dialog system using word embedding Eichi Seto, Ryota Nishimura, Norihide Kitaoka (Tokushima Univ.) SP2017-38 WIT2017-34 |
We are developing a spoken dialog system for reminiscence therapy. We propose an example-based dialog system featuring a... [more] | SP2017-38 WIT2017-34 pp.23-28 |
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