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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 |
| 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 |
| 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 |
| 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 |
| 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 |
| SP, SIP, EA | 2017-03-01 12:40 |
Okinawa | Okinawa Industry Support Center | [Poster Presentation]
Prosodic Word Embeddings for DNN-based speech synthesis Yusuke Ijima, Nobukatsu Hojo, Ryo Masumura, Taichi Asami (NTT) EA2016-109 SIP2016-164 SP2016-104 |
This paper proposed a novel word embeddings with prosodic information (prosodic word embeddings) for DNN-based speech sy... [more] | EA2016-109 SIP2016-164 SP2016-104 pp.153-158 |
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