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Naoki Yoshinaga 0001
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Publications
- 2022
- [c48]Fumikazu Sato, Naoki Yoshinaga, Masaru Kitsuregawa:
Building Large-Scale Japanese Pronunciation-Annotated Corpora for Reading Heteronymous Logograms. LREC 2022: 7113-7121 - [i8]Yuri Nakayama, Yuka Takedomi, Towa Suda, Takeaki Uno, Takako Hashimoto, Masashi Toyoda, Naoki Yoshinaga, Masaru Kitsuregawa, Luis E. C. Rocha, Ryota Kobayashi:
Evolution of the public opinion on COVID-19 vaccination in Japan. CoRR abs/2207.10924 (2022) - 2021
- [c47]Takako Hashimoto, Takeaki Uno, Yuka Takedomi, David Lawrence Shepard, Masashi Toyoda, Naoki Yoshinaga, Masaru Kitsuregawa, Ryota Kobayashi:
Two-stage Clustering Method for Discovering People's Perceptions: A Case Study of the COVID-19 Vaccine from Twitter. IEEE BigData 2021: 614-621 - [c44]Shoetsu Sato, Naoki Yoshinaga, Masashi Toyoda, Masaru Kitsuregawa:
Speculative Sampling in Variational Autoencoders for Dialogue Response Generation. EMNLP (Findings) 2021: 4739-4745 - 2020
- [c41]Shoetsu Sato, Jin Sakuma, Naoki Yoshinaga, Masashi Toyoda, Masaru Kitsuregawa:
Vocabulary Adaptation for Domain Adaptation in Neural Machine Translation. EMNLP (Findings) 2020: 4269-4279 - [c40]Nobukazu Fukuda, Naoki Yoshinaga, Masaru Kitsuregawa:
Robust Backed-off Estimation of Out-of-Vocabulary Embeddings. EMNLP (Findings) 2020: 4827-4838 - [i4]Shoetsu Sato, Jin Sakuma, Naoki Yoshinaga, Masashi Toyoda, Masaru Kitsuregawa:
Vocabulary Adaptation for Distant Domain Adaptation in Neural Machine Translation. CoRR abs/2004.14821 (2020) - 2019
- [c33]Shonosuke Ishiwatari, Hiroaki Hayashi, Naoki Yoshinaga, Graham Neubig, Shoetsu Sato, Masashi Toyoda, Masaru Kitsuregawa:
Learning to Describe Unknown Phrases with Local and Global Contexts. NAACL-HLT (1) 2019: 3467-3476 - 2018
- [i1]Shonosuke Ishiwatari, Hiroaki Hayashi, Naoki Yoshinaga, Graham Neubig, Masashi Toyoda, Masaru Kitsuregawa:
Learning to Describe Phrases with Local and Global Contexts. CoRR abs/1811.00266 (2018) - 2017
- [c32]Shoetsu Sato, Naoki Yoshinaga, Masashi Toyoda, Masaru Kitsuregawa:
Modeling Situations in Neural Chat Bots. ACL (Student Research Workshop) 2017: 120-127 - [c31]Shonosuke Ishiwatari, Jingtao Yao, Shujie Liu, Mu Li, Ming Zhou, Naoki Yoshinaga, Masaru Kitsuregawa, Weijia Jia:
Chunk-based Decoder for Neural Machine Translation. ACL (1) 2017: 1901-1912 - 2016
- [c28]Shonosuke Ishiwatari, Naoki Yoshinaga, Masashi Toyoda, Masaru Kitsuregawa:
Instant Translation Model Adaptation by Translating Unseen Words in Continuous Vector Space. CICLing (2) 2016: 51-62 - [c27]Tatsuya Iwanari, Kohei Ohara, Naoki Yoshinaga, Nobuhiro Kaji, Masashi Toyoda, Masaru Kitsuregawa:
Kotonush: Understanding Concepts Based on Values behind Social Media. COLING (Demos) 2016: 292-296 - [c26]Tatsuya Iwanari, Naoki Yoshinaga, Nobuhiro Kaji, Toshiharu Nishina, Masashi Toyoda, Masaru Kitsuregawa:
Ordering Concepts Based on Common Attribute Intensity. IJCAI 2016: 3747-3753 - [c23]Shoetsu Sato, Shonosuke Ishiwatari, Naoki Yoshinaga, Masashi Toyoda, Masaru Kitsuregawa:
UT Dialogue System at NTCIR-12 STC. NTCIR 2016 - 2015
- [c22]Shonosuke Ishiwatari, Nobuhiro Kaji, Naoki Yoshinaga, Masashi Toyoda, Masaru Kitsuregawa:
Accurate Cross-lingual Projection between Count-based Word Vectors by Exploiting Translatable Context Pairs. CoNLL 2015: 300-304 - 2014
- [j2]Yong Ren, Nobuhiro Kaji, Naoki Yoshinaga, Masaru Kitsuregawa:
Sentiment Classification in Under-Resourced Languages Using Graph-Based Semi-Supervised Learning Methods. IEICE Trans. Inf. Syst. 97-D(4): 790-797 (2014) - [c21]Naoki Yoshinaga, Masaru Kitsuregawa:
A Self-adaptive Classifier for Efficient Text-stream Processing. COLING 2014: 1091-1102 - 2013
- [c19]Wenliang Gao, Naoki Yoshinaga, Nobuhiro Kaji, Masaru Kitsuregawa:
Modeling User Leniency and Product Popularity for Sentiment Classification. IJCNLP 2013: 1107-1111 - [c18]Wenliang Gao, Naoki Yoshinaga, Nobuhiro Kaji, Masaru Kitsuregawa:
Collective Sentiment Classification Based on User Leniency and Product Popularity. PACLIC 2013 - 2012
- [j1]Naoki Yoshinaga, Masaru Kitsuregawa:
Efficient Classification with Conjunctive Features. J. Inf. Process. 20(1): 228-237 (2012) - [c17]Masahiko Itoh, Naoki Yoshinaga, Masashi Toyoda, Masaru Kitsuregawa:
Analysis and visualization of temporal changes in bloggers' activities and interests. PacificVis 2012: 57-64 - 2011
- [c15]Masahiko Itoh, Naoki Yoshinaga, Masashi Toyoda, Masaru Kitsuregawa:
3D Visualization of temporal changes in bloggers' activities and interests. IEEE VAST 2011: 283-284 - [c14]Yong Ren, Nobuhiro Kaji, Naoki Yoshinaga, Masashi Toyoda, Masaru Kitsuregawa:
Sentiment Classification in Resource-Scarce Languages by using Label Propagation. PACLIC 2011: 420-429 - 2010
- [c13]Nobuhiro Kaji, Yasuhiro Fujiwara, Naoki Yoshinaga, Masaru Kitsuregawa:
Efficient Staggered Decoding for Sequence Labeling. ACL 2010: 485-494 - [c12]Naoki Yoshinaga, Masaru Kitsuregawa:
Kernel Slicing: Scalable Online Training with Conjunctive Features. COLING 2010: 1245-1253 - 2009
- [c11]Naoki Yoshinaga, Masaru Kitsuregawa:
Polynomial to Linear: Efficient Classification with Conjunctive Features. EMNLP 2009: 1542-1551
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