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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLC | 2023-09-06 14:10 |
Osaka | Osaka Metropolitan University. Nakamozu Campus. (Primary: On-site, Secondary: Online) |
Construction and Validation of Pre-trained Language Model Using Corpus of National and Local Assembly Minutes Keiyu Nagafuchi (HU), Eisaku Sato, Yasutomo Kimura (OUC), Kazuma Kadowaki (JRI), Kenji Araki (HU)  NLC2023-3 |
In recent years, there has been a surge in pre-trained language models based on the large-scale corpora derived from the... [more] | NLC2023-3 pp.12-17 |
| NLC, IPSJ-NL | 2023-03-18 11:45 |
Okinawa | OIST (Primary: On-site, Secondary: Online) |
Detection of Parkinson's disease patients from interview data using pre-trained language models Aiichiro Hayatsu, Ryohei Sasano, Koichi Takeda (Nagoya Univ.) NLC2022-24 |
It is estimated that Parkinson’s disease (PD) affects 150,000 people in Japan, and the number of patients increases as s... [more] | NLC2022-24 pp.28-31 |
| NLC, IPSJ-NL, SP, IPSJ-SLP [detail] | 2022-12-01 15:20 |
Tokyo | (Primary: On-site, Secondary: Online) |
Domain and language adaptation of large-scale pretrained model for speech recognition of low-resource language Kak Soky (Kyoto University), Sheng Li (NICT), Chenhui Chu, Tatsuya Kawahara (Kyoto University) NLC2022-17 SP2022-37 |
The self-supervised learning (SSL) models are effective for automatic speech recognition (ASR). Due to the huge paramete... [more] | NLC2022-17 SP2022-37 pp.45-49 |
| KBSE, SC | 2020-11-13 15:22 |
Online | Online + Kikai-Shinko-Kaikan Bldg. (Primary: Online, Secondary: On-site) |
[Poster Presentation]
Automation of Ontology Generation by Pre-trained Language Model Atusi Oba, Ayato Kuwana, Paik Incheon (UoA) KBSE2020-22 SC2020-26 |
As an initial attempt of ontology generation with neural network, Recurrent Neural Network (RNN) based method is propose... [more] | KBSE2020-22 SC2020-26 p.40 |
| NLC, IPSJ-DC | 2019-09-28 16:00 |
Tokyo | Future Corporation | A comparison of Japanese pretrained BERT models Naoki Shibayama, Rui Cao, Jing Bai, Wen Ma, Hiroyuki Shinnou (Ibaraki Univ.) NLC2019-24 |
BERT is useful pre-training method for neural languages. There are pre-trained models for English which was used in a pa... [more] | NLC2019-24 pp.89-92 |
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