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| Paper Abstract and Keywords | ||
| Presentation | 2019-09-28 16:00 A comparison of Japanese pretrained BERT models Naoki Shibayama, Rui Cao, Jing Bai, Wen Ma, Hiroyuki Shinnou (Ibaraki Univ.)  NLC2019-24 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | BERT is useful pre-training method for neural languages. There are pre-trained models for English which was used in a paper of BERT. Now, There are 3 Japanese pre-trained models which uses SentencePiece, Juman++ with BPE, or MeCab with NEologd to separate input texts by lexical. In this paper, we compared these 3 models with a sentiment analysis task as a subject. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | machine learning / BERT / pre-trained model / natural language processing / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 212, NLC2019-24, pp. 89-92, Sept. 2019. | |
| Paper # | NLC2019-24 | |
| Date of Issue | 2019-09-20 (NLC) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | NLC2019-24 |
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| Conference Information | |
| Committee | NLC IPSJ-DC |
| Conference Date | 2019-09-27 - 2019-09-28 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Future Corporation |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | The Thirteenth Text Analytics Symposium |
| Paper Information | |
| Registration To | NLC |
| Conference Code | 2019-09-NLC-DC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A comparison of Japanese pretrained BERT models |
| Sub Title (in English) | |
| Keyword(1) | machine learning |
| Keyword(2) | BERT |
| Keyword(3) | pre-trained model |
| Keyword(4) | natural language processing |
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| 1st Author's Name | Naoki Shibayama |
| 1st Author's Affiliation | Ibaraki University (Ibaraki Univ.) |
| 2nd Author's Name | Rui Cao |
| 2nd Author's Affiliation | Ibaraki University (Ibaraki Univ.) |
| 3rd Author's Name | Jing Bai |
| 3rd Author's Affiliation | Ibaraki University (Ibaraki Univ.) |
| 4th Author's Name | Wen Ma |
| 4th Author's Affiliation | Ibaraki University (Ibaraki Univ.) |
| 5th Author's Name | Hiroyuki Shinnou |
| 5th Author's Affiliation | Ibaraki University (Ibaraki Univ.) |
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| Speaker | Author-1 |
| Date Time | 2019-09-28 16:00:00 |
| Presentation Time | 25 minutes |
| Registration for | NLC |
| Paper # | NLC2019-24 |
| Volume (vol) | vol.119 |
| Number (no) | no.212 |
| Page | pp.89-92 |
| #Pages | 4 |
| Date of Issue | 2019-09-20 (NLC) |
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