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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| AI | 2023-09-12 14:15 |
Hokkaido | A Study of Distributed Constraint Optimization for Publish/Subscribe Messaging Platforms Toshihiro Matsui (Nitech)  AI2023-27 |
Optimization problems and solution methods on multiagent systems have been studied as basis of distributed resource allo... [more] | AI2023-27 pp.157-160 |
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| 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 |
| CAS, MSS, IPSJ-AL [detail] | 2022-11-18 14:05 |
Kochi | (Primary: On-site, Secondary: Online) |
Unsupervised Representation Learning over Decentralized Federated Learning Haruki Sakurai, Hideya Ochiai, Hiroshi Esaki (Univ. Tokyo) CAS2022-54 MSS2022-37 |
Contrastive Learning is a form of self-supervised learning, a method for learning a general-purpose encoder using a larg... [more] | CAS2022-54 MSS2022-37 pp.79-82 |
| 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 |
| NLC | 2022-03-07 16:40 |
Online | Online | Strict Determination of Synonyms using Distributed Representation of Words and Heuristics Aoto Suzuki, Kazuhiro Kazama (Wakayama Univ.) NLC2021-38 |
Thesauruses or ontologies that systematized specific domain knowledge is useful for improving the performance of systems... [more] | NLC2021-38 pp.56-61 |
| MSS, CAS, IPSJ-AL [detail] | 2021-11-18 11:20 |
Online | Online | Evaluation of Accuracy in Frequency Domain Equalization with Equivalent Low-pass Model of Distributed Amplifier Taiki Okuma, Sota Ikeo, Umeda Yohtaro (Tokyo University of Science) CAS2021-42 MSS2021-22 |
In the estimation of the channel function for a circuit and the accuracy evaluation of distortion compensation using Fre... [more] | CAS2021-42 MSS2021-22 pp.28-33 |
| NLC | 2021-02-18 16:30 |
Online | Online | A Case Exploration Tool for Sales Activities with Domain Viewpoints Mariko Sugawara, Sachiko Onodera (FUJITSU Lab.) NLC2020-28 |
In the recent sales activities of IT vendors supporting Customer DX, there are cases in which customers themselves do no... [more] | NLC2020-28 pp.31-36 |
| KBSE | 2020-09-18 10:00 |
Online | Online | Proposal of an automatic classification of web news sources by short title texts Takuto Sugita, Yutaka Matsuno (Nihon Univ.) KBSE2020-1 |
In recent years, the demand for services to collect and provide news sources on the Web has been increasing, and the tec... [more] | KBSE2020-1 pp.1-6 |
| NLC | 2020-09-10 15:50 |
Online | Online | chiVe: Towards Industrial-strength Japanese Word Vector Resources
-- Constructing and Improving Embedding with Tokenizer "Sudachi" and Ultra-large-scale Web-based Corpus "NWJC" -- Sorami Hisamoto, Takashi Yamamura, Akihiro Katsuta, Yuto Takebayashi, Kazuma Takaoka, Yoshitaka Uchida (WAP), Teruaki Oka, Masayuki Asahara (NINJAL) NLC2020-9 |
Pretrained word embeddings (word vectors, distributed representations) are fundamental and important components for rece... [more] | NLC2020-9 pp.40-45 |
| TL | 2019-09-29 14:05 |
Hokkaido | National Institute of Technology, Hakodate College | Investigation of Positional Relations on Distributed Representation of Words Contributing to Contrast Word Identification Yuki Okumura (OECU), Sachio Hirokawa (Kyushu Univ), Kazuhiro Takeuchi (OECU) TL2019-38 |
n recent years, distributed representations that represent words in a multidimensional real vector space have been widel... [more] | TL2019-38 pp.5-9 |
| NLC, IPSJ-DC | 2019-09-28 16:50 |
Tokyo | Future Corporation | Semi-supervised learning for sentiment analysis by using Triple-GAN Jincheng Yang, Rui Cao, Jing Bai, Wen Ma, Hiroyuki Shinnou (Ibaraki Univ.) NLC2019-26 |
GAN has become an effective method in the field of image,but in the field of NLP,It's difficult to design a generation ... [more] |
NLC2019-26 pp.99-102 |
| 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, IPSJ-DBS, IPSJ-IFAT | 2019-09-10 15:25 |
Tokyo | Kogakuin University | Calculating typicality of cooking procedures for extracting recipe arrangement Tatsuya Oonita, Daisuke Kitayama (Kogakuin Univ.) DE2019-16 |
We are working on the extraction of basic recipes in order to form the basis for the arrangement extraction of recipes. ... [more] |
DE2019-16 pp.7-11 |
| SP | 2018-08-27 11:35 |
Kyoto | Kyoto Univ. | [Poster Presentation]
A Study on Representation of Speaker Information for DNN Speech Synthesis Lin Yuhan, Keisuke Imoto, Masahiro Niitsuma, Ryosuke Yamanishi, Yoichi Yamashita (Ritsumeikan Univ.) SP2018-25 |
Recent studies have shown that DNN speech synthesis can generate natural synthesized speech than HMM-based speech synthe... [more] | SP2018-25 pp.15-18 |
| ICM | 2018-07-05 13:50 |
Aomori | Autonomous Management Loop by Componentization and Autonomization of Operation Function Naoyuki Tanji, Atsushi Takada, Kyoko Yamagoe (NTT) ICM2018-13 |
In order to continue to provide high-quality network services, service maintenance work is being conducted to monitor th... [more] | ICM2018-13 pp.13-18 |
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| EMM | 2018-03-05 15:45 |
Kagoshima | Naze Community Center (Amami-Shi, Kagoshima) | [Poster Presentation]
What kind of embedding methods do neural networks learn? Ippei Hamamoto, Masaki Kawamura (Yamaguchi Univ.) EMM2017-83 |
We proposed an embedder, i.e., an embedding method using a layered neural network. The discrete cosine transform (DCT) c... [more] | EMM2017-83 pp.31-36 |
| MBE, NC (Joint) |
2017-11-24 13:25 |
Miyagi | Tohoku University | Phased Learning for Distributed Word Representations Considering Synonym Chiaki Yonekura, Masafumi Hagiwara (Keio Univ.) NC2017-28 |
In natural language processing, distributed word representation is one of the representation methods for treating words ... [more] | NC2017-28 pp.7-12 |
| IA, IN (Joint) |
2016-12-15 16:45 |
Hiroshima | Hiroshima city university | Method of storing and providing traffic for representation of importance in Catalogue system Takeshi Sano, Fumio Teraoka, Kunitake Kaneko (Keio University) IN2016-75 |
A Catalogue system in which relations between contents are described by a graph structure has been developed in order to... [more] | IN2016-75 pp.51-56 |
| CCS | 2016-08-10 12:30 |
Hokkaido | Yoichi Chuo kominkan | [Invited Lecture]
Topology-based Approach for Network Sensing and its Applications Kazuki Nakada (Hiroshima City Univ.), Keiji Miura (Kwansei Gakuin Univ.) CCS2016-25 |
In this presentation, we review a topology-based approach for network sensing and its applications. We here explain rece... [more] | CCS2016-25 pp.47-52 |
| LOIS | 2016-03-03 13:00 |
Okinawa | Central Community Center, Miyakojima-City | Article Retrieval Using Distributed Representations of Abstracts Suguru Takatoku, Yasuhiko Higaki (Chiba Univ.) LOIS2015-70 |
The purpose of this study is to evaluate article retrieval using distributed representations of abstracts. This method o... [more] | LOIS2015-70 pp.39-44 |
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