Author

Naoki Yoshinaga

Institute of Industrial Science, The University of Tokyo - Cited by 1,078 - natural language processing - computational linguistics - machine learning

Biography

Naoki Yoshinaga  is working as professor in Department of Cognitive Behavioral Physiology, Chiba University Graduate School of Medicine, China, Japan . Research experience includes various programs, contributions and participation in different countries for diverse fields of Medical Sciences, Health Services, Health Safety.
Title
Cited by
Year
61
2019
A bag of useful tricks for practical neural machine translation: Embedding layer initialization and large batch size
M Neishi, J Sakuma, S Tohda, S Ishiwatari, N Yoshinaga, M ToyodaWAT 2017, 99-109, 2017201
57
2017
Learning to Describe Unknown Phrases with Local and Global Contexts
S Ishiwatari, H Hayashi, N Yoshinaga, G Neubig, S Sato, M Toyoda, ...NAACL 2019 (oral), 3467-3476, 2019201
39
2019
Vocabulary adaptation for domain adaptation in neural machine translation
S Sato, J Sakuma, N Yoshinaga, M Toyoda, M KitsuregawaFindings of EMNLP 2020, 4269-49, 2020202
27
2020
Modeling Personal Biases in Language Use by Inducing Personalized Word Embeddings
D Oba, N Yoshinaga, S Sato, S Akasaki, M ToyodaNAACL 2019, short (oral), 2102-2108, 2019201
13
2019
uBLEU: Uncertainty-Aware Automatic Evaluation Method for Open-Domain Dialogue Systems
Y Tsuta, N Yoshinaga, M ToyodaACL-SRW 2020, 199-206, 2020202
12
2020
Simple and Effective Knowledge-Driven Query Expansion for QA-Based Product Attribute Extraction
K Shinzato, N Yoshinaga, Y Xia, WT ChenACL 2022 (oral), 227-234, 2022202
9
2022
Robust Backed-off Estimation of Out-of-Vocabulary Embeddings
N Fukuda, N Yoshinaga, M KitsuregawaFindings of EMNLP 2020, 427-43, 2020202
8
2020
Early discovery of emerging entities in microblogs
S Akasaki, N Yoshinaga, M ToyodaIJCAI 2019, 2019201
7
2019
Understanding Interpersonal Variations in Word Meanings via Review Target Identification
D Oba, S Sato, N Yoshinaga, S Akasaki, M ToyodaCICLing 2019, 2019201
3
2019
Self-adaptive named entity recognition by retrieving unstructured knowledge
K Nishida, N Yoshinaga, K NishidaarXiv preprint arXiv:10.0753, 0
2
2022
Evolution of public opinion on COVID-19 vaccination in Japan: large-scale Twitter data analysis
R Kobayashi, Y Takedomi, Y Nakayama, T Suda, T Uno, T Hashimoto, ...Journal of Medical Internet Research 4 (1), e4198, 0
2
2022
Exploratory Model Analysis Using Data-Driven Neuron Representations
D Oba, N Yoshinaga, M ToyodaBlackboxNLP 202, 58-528, 20220
1
2021
Personal semantic variations in word meanings: Induction, application, and analysis
D Oba, S Sato, S Akasaki, N Yoshinaga, M ToyodaJournal of Natural Language Processing 27 (2), 467-490, 2020202
1
2020
Estimation of mRNA COVID-19 Vaccination Effectiveness in Tokyo for Omicron Variants BA. 2 and BA. 5: Effect of Social Behavior
Estimation of mRNA COVID-9 Vaccination Effectiveness in Tokyo for Omicron Variants BA. 2 and BA. 5: Effect of Social BehaviorS Kodera, Y Niimi, EA Rashed, N Yoshinaga, M Toyoda, A HirataVaccines 0 (), 820, 2022202
1
2022
長期間の過去文脈を効果的に活用した雑談対話システム
髙﨑環, 吉永直樹, 豊田正史人工知能学会研究会資料 言語・音声理解と対話処理研究会 第 96 回 (2022.2), 6, 2022202
1
2022
Entity Embedding Completion for Wide-Coverage Entity Disambiguation
D Oba, I Yamada, N Yoshinaga, M ToyodaFindings of the Association for Computational Linguistics: EMNLP 2022, 6333-6344, 2022202
1
2022