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ORCIDNaoki Yoshinaga 0001
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- affiliation: University of Tokyo
Other persons with the same name
- Naoki Yoshinaga 0002 — NEC
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2020 – today
- 2024
[c59]Xin Zhao, Naoki Yoshinaga, Daisuke Oba:
Tracing the Roots of Facts in Multilingual Language Models: Independent, Shared, and Transferred Knowledge. EACL (1) 2024: 2088-2102- [c58]Zihan Wang, Naoki Yoshinaga:
Commentary Generation from Data Records of Multiplayer Strategy Esports Game. NAACL (Student Research Workshop) 2024: 263-271 - [i16]Tsuta Yuma, Naoki Yoshinaga, Shoetsu Sato, Masashi Toyoda:
Rethinking Response Evaluation from Interlocutor's Eye for Open-Domain Dialogue Systems. CoRR abs/2401.02256 (2024) - [i15]Xin Zhao, Naoki Yoshinaga, Daisuke Oba:
Tracing the Roots of Facts in Multilingual Language Models: Independent, Shared, and Transferred Knowledge. CoRR abs/2403.05189 (2024) - [i14]Xin Zhao, Naoki Yoshinaga, Daisuke Oba:
What Matters in Learning Facts in Language Models? Multifaceted Knowledge Probing with Diverse Multi-Prompt Datasets. CoRR abs/2406.12277 (2024) - 2023
- [c57]Naoki Yoshinaga:
Back to Patterns: Efficient Japanese Morphological Analysis with Feature-Sequence Trie. ACL (2) 2023: 13-23 - [c56]Satoshi Akasaki, Naoki Yoshinaga, Masashi Toyoda:
Early Discovery of Disappearing Entities in Microblogs. ACL (1) 2023: 4507-4520 - [c55]Keiji Shinzato, Naoki Yoshinaga, Yandi Xia, Wei-Te Chen:
A Unified Generative Approach to Product Attribute-Value Identification. ACL (Findings) 2023: 6599-6612 - [c54]Kosuke Nishida, Naoki Yoshinaga, Kyosuke Nishida:
Self-Adaptive Named Entity Recognition by Retrieving Unstructured Knowledge. EACL 2023: 3185-3197 - [c53]Wei-Te Chen, Keiji Shinzato, Naoki Yoshinaga, Yandi Xia:
Does Named Entity Recognition Truly Not Scale Up to Real-world Product Attribute Extraction? EMNLP (Industry Track) 2023: 152-159 - [c52]Kosuke Nishida, Naoki Yoshinaga, Kyosuke Nishida:
Sparse Neural Retrieval Model for Efficient Cross-Domain Retrieval-Based Question Answering. PACLIC 2023: 819-830 - [i13]Naoki Yoshinaga:
Back to Patterns: Efficient Japanese Morphological Analysis with Feature-Sequence Trie. CoRR abs/2305.19045 (2023) - [i12]Keiji Shinzato, Naoki Yoshinaga, Yandi Xia, Wei-Te Chen:
A Unified Generative Approach to Product Attribute-Value Identification. CoRR abs/2306.05605 (2023) - [i11]Daisuke Oba, Naoki Yoshinaga, Masashi Toyoda:
PerPLM: Personalized Fine-tuning of Pretrained Language Models via Writer-specific Intermediate Learning and Prompts. CoRR abs/2309.07727 (2023) - [i10]Yueguan Wang, Naoki Yoshinaga:
Summarization-based Data Augmentation for Document Classification. CoRR abs/2312.00513 (2023) - 2022
- [c51]Keiji Shinzato, Naoki Yoshinaga, Yandi Xia, Wei-Te Chen:
Simple and Effective Knowledge-Driven Query Expansion for QA-Based Product Attribute Extraction. ACL (2) 2022: 227-234 - [c50]Shohei Hisamitsu, Sho Cho, Hongshan Jin, Masashi Toyoda, Naoki Yoshinaga:
Diachronic Analysis of Users' Stances on COVID-19 Vaccination in Japan using Twitter. ASONAM 2022: 237-241 - [c49]Daisuke Oba, Ikuya Yamada, Naoki Yoshinaga, Masashi Toyoda:
Entity Embedding Completion for Wide-Coverage Entity Disambiguation. EMNLP (Findings) 2022: 6333-6344 - [c48]Fumikazu Sato, Naoki Yoshinaga, Masaru Kitsuregawa:
Building Large-Scale Japanese Pronunciation-Annotated Corpora for Reading Heteronymous Logograms. LREC 2022: 7113-7121 - [i9]Keiji Shinzato, Naoki Yoshinaga, Yandi Xia, Wei-Te Chen:
Simple and Effective Knowledge-Driven Query Expansion for QA-Based Product Attribute Extraction. CoRR abs/2206.14264 (2022) - [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) - [i7]Satoshi Akasaki, Naoki Yoshinaga, Masashi Toyoda:
Early Discovery of Disappearing Entities in Microblogs. CoRR abs/2210.07404 (2022) - [i6]Kosuke Nishida, Naoki Yoshinaga, Kyosuke Nishida:
Self-Adaptive Named Entity Recognition by Retrieving Unstructured Knowledge. CoRR abs/2210.07523 (2022) - [i5]Zihan Wang, Naoki Yoshinaga:
Esports Data-to-commentary Generation on Large-scale Data-to-text Dataset. CoRR abs/2212.10935 (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 - [c46]Daisuke Oba, Naoki Yoshinaga, Masashi Toyoda:
Exploratory Model Analysis Using Data-Driven Neuron Representations. BlackboxNLP@EMNLP 2021: 518-528 - [c45]Satoshi Akasaki, Naoki Yoshinaga, Masashi Toyoda:
Fine-grained Typing of Emerging Entities in Microblogs. EMNLP (Findings) 2021: 4667-4679 - [c44]Shoetsu Sato, Naoki Yoshinaga, Masashi Toyoda, Masaru Kitsuregawa:
Speculative Sampling in Variational Autoencoders for Dialogue Response Generation. EMNLP (Findings) 2021: 4739-4745 - [c43]Amane Sugiyama, Naoki Yoshinaga:
Context-aware Decoder for Neural Machine Translation using a Target-side Document-Level Language Model. NAACL-HLT 2021: 5781-5791 - 2020
- [c42]Tsuta Yuma, Naoki Yoshinaga, Masashi Toyoda:
uBLEU: Uncertainty-Aware Automatic Evaluation Method for Open-Domain Dialogue Systems. ACL (student) 2020: 199-206 - [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) - [i3]Amane Sugiyama, Naoki Yoshinaga:
Context-aware Decoder for Neural Machine Translation using a Target-side Document-Level Language Model. CoRR abs/2010.12827 (2020)
2010 – 2019
- 2019
- [c39]Daisuke Oba, Shoetsu Sato, Naoki Yoshinaga, Satoshi Akasaki, Masashi Toyoda:
Understanding Interpersonal Variations in Word Meanings via Review Target Identification. CICLing (2) 2019: 121-134 - [c38]Jin Sakuma, Naoki Yoshinaga:
Multilingual Model Using Cross-Task Embedding Projection. CoNLL 2019: 22-32 - [c37]Masato Neishi, Naoki Yoshinaga:
On the Relation between Position Information and Sentence Length in Neural Machine Translation. CoNLL 2019: 328-338 - [c36]Amane Sugiyama, Naoki Yoshinaga:
Data augmentation using back-translation for context-aware neural machine translation. DiscoMT@EMNLP 2019: 35-44 - [c35]Satoshi Akasaki, Naoki Yoshinaga, Masashi Toyoda:
Early Discovery of Emerging Entities in Microblogs. IJCAI 2019: 4882-4889 - [c34]Daisuke Oba, Naoki Yoshinaga, Shoetsu Sato, Satoshi Akasaki, Masashi Toyoda:
Modeling Personal Biases in Language Use by Inducing Personalized Word Embeddings. NAACL-HLT (1) 2019: 2102-2108 - [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 - [i2]Satoshi Akasaki, Naoki Yoshinaga, Masashi Toyoda:
Early Discovery of Emerging Entities in Microblogs. CoRR abs/1907.03513 (2019) - 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 - [c30]Masato Neishi, Jin Sakuma, Satoshi Tohda, Shonosuke Ishiwatari, Naoki Yoshinaga, Masashi Toyoda:
A Bag of Useful Tricks for Practical Neural Machine Translation: Embedding Layer Initialization and Large Batch Size. WAT@IJCNLP 2017: 99-109 - [c29]Hongshan Jin, Masashi Toyoda, Naoki Yoshinaga:
Can Cross-Lingual Information Cascades Be Predicted on Twitter? SocInfo (1) 2017: 457-472 - 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 - [c25]Masahiko Itoh, Naoki Yoshinaga, Masashi Toyoda:
Spatio-temporal Event Visualization from a Geo-parsed Microblog Stream. IUI Companion 2016: 58-61 - [c24]Masahiko Itoh, Naoki Yoshinaga, Masashi Toyoda:
Word-Clouds in the Sky: Multi-layer Spatio-Temporal Event Visualization from a Geo-Parsed Microblog Stream. IV 2016: 282-289 - [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
- [j4]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) - [j3]Wenliang Gao, Nobuhiro Kaji, Naoki Yoshinaga, Masaru Kitsuregawa:
Collective Sentiment Classification Based on User Leniency and Product Popularity. Inf. Media Technol. 9(3): 302-322 (2014) - [c21]Naoki Yoshinaga, Masaru Kitsuregawa:
A Self-adaptive Classifier for Efficient Text-stream Processing. COLING 2014: 1091-1102 - 2013
- [c20]Takayuki Hasegawa, Nobuhiro Kaji, Naoki Yoshinaga, Masashi Toyoda:
Predicting and Eliciting Addressee's Emotion in Online Dialogue. ACL (1) 2013: 964-972 - [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
- [j2]Naoki Yoshinaga, Masaru Kitsuregawa:
Efficient Classification with Conjunctive Features. Inf. Media Technol. 7(1): 119-128 (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 - [c16]Yohei Takaku, Nobuhiro Kaji, Naoki Yoshinaga, Masashi Toyoda:
Identifying Constant and Unique Relations by using Time-Series Text. EMNLP-CoNLL 2012: 883-892 - 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
2000 – 2009
- 2009
- [c11]Naoki Yoshinaga, Masaru Kitsuregawa:
Polynomial to Linear: Efficient Classification with Conjunctive Features. EMNLP 2009: 1542-1551 - 2008
- [c10]Asuka Sumida, Naoki Yoshinaga, Kentaro Torisawa:
Boosting Precision and Recall of Hyponymy Relation Acquisition from Hierarchical Layouts in Wikipedia. LREC 2008 - [c9]Naoki Yoshinaga:
Towards Accurate Probabilistic Lexicons for Lexicalized Grammars. TAG 2008: 165-172 - 2007
- [c8]Naoki Yoshinaga, Kazumasa Nakamura, Kentaro Torisawa:
A Novel Web-Oriented Writing Environment Using Objects' Facts Acquired from the Web. Web Intelligence/IAT Workshops 2007: 230-234 - 2006
- [c7]Naoki Yoshinaga, Kentaro Torisawa:
Finding specification pages according to attributes. WWW 2006: 1021-1022 - 2004
- [c6]Naoki Yoshinaga:
Improving the Accuracy of Subcategorizations Acquired from Corpora. ACL (Student Research Workshop) 2004 - [c5]Naoki Yoshinaga, Jun'ichi Tsujii:
Generalizing Subcategorization Frames Acquired from Corpora Using Lexicalized Grammars. TAG+ 2004: 104-110 - [c4]Kenta Oouchida, Naoki Yoshinaga, Jun'ichi Tsujii:
Context-free Approximation of LTAG towards CFG Filtering. TAG+ 2004: 171-177 - 2003
- [c3]Akane Yakushiji, Yuka Tateisi, Yusuke Miyao, Naoki Yoshinaga, Jun'ichi Tsujii:
A Debug Tool for Practical Grammar Development. ACL (Companion) 2003: 173-176 - [c2]Naoki Yoshinaga, Kentaro Torisawa, Jun'ichi Tsujii:
Comparison between CFG Filtering Techniques for LTAG and HPSG. ACL (Companion) 2003: 185-188 - 2002
- [c1]Naoki Yoshinaga, Yusuke Miyao, Jun'ichi Tsujii:
A Formal Proof of Strong Equivalence for a Grammar Conversion from LTAG to HPSG-style. TAG+ 2002: 187-192
Coauthor Index
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