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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 7 of 7  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
DE 2024-06-22
10:55
Tokyo Recruit (Headquarter)
(Primary: On-site, Secondary: Online)

()
(To be available after the conference date) [more]
NLP, CCS 2024-06-07
10:20
Fukuoka West Japan General Exhibition Center AIM Investigating the latent variable space of different natural language processing architectures with generative images
Masato Izumi, Kenya Jin'no (Tokyo City Univ) NLP2024-31 CCS2024-18
In recent years, AI technologies, particularly natural language processing (NLP) models, have evolved rapidly. However, ... [more] NLP2024-31 CCS2024-18
pp.74-77
NLP 2023-11-28
10:50
Okinawa Nago city commerce and industry association Investigation of differences in latent variable space for different datasets in Sentence-BERT's image generation model
Masato Izumi, Kenya Jin'no (Tokyo City Univ.) NLP2023-61
We have verified the degree to which sentence vectors, which are distributed representations of sentences generated by S... [more] NLP2023-61
pp.11-14
SP, IPSJ-MUS, IPSJ-SLP [detail] 2023-06-24
13:50
Tokyo
(Primary: On-site, Secondary: Online)
[Short Paper] SBERT-based Musical Components Estimation from Lyrics Trained with Imbalanced "Orpheus" Data
Mastuti Puspitasari, Takuya Takahashi (UEC), Gen Hori (AU), Shigeki Sagayama, Toru Nakashika (UEC) SP2023-18
This research was done to develop neural models that are capable of estimating appropriate musical components based on l... [more] SP2023-18
pp.86-90
NLP, MSS 2023-03-17
13:30
Nagasaki
(Primary: On-site, Secondary: Online)
Investigation of similarity between synonyms using sentence vectors generated by Sentence-BERT
Masato Izumi, Kenya Jin'no (Tokyo City Univ.) MSS2022-101 NLP2022-146
The sentence vector output by Sentence-BERT has 768 dimensions. These 768 dimensions cannot be completely divided into w... [more] MSS2022-101 NLP2022-146
pp.182-185
IN, CCS
(Joint)
2022-08-04
11:30
Hokkaido Hokkaido University(Centennial Hall)
(Primary: On-site, Secondary: Online)
Investigating of the sentence vector for input sentences changing in Sentence-BERT by using UMAP
Masato Izumi, Kenya Jin'no (Tokyo City Univ) CCS2022-30
We have previously studied whether the sentence vectors, distributed representations of sentences generated by Sentence-... [more] CCS2022-30
pp.20-23
ET 2022-07-09
13:35
Online Online Retrieval of Similar Questions from QAbot Data based on Transformer Language Model
Zihao Chen, Hisashi Handa, Kimiaki Shirahama (Kindai Univ.) ET2022-9
It has recently become possible to collect a large amount of question-answer pairs that arose in certain educational cou... [more] ET2022-9
pp.5-11
 Results 1 - 7 of 7  /   
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