🧑‍🔬 Who cites Tetsuji Nakagawa

142 citations of their works from 142 papers of our library (of the 149,439 whose bibliographies we read) · 21 with a page here, the most cited first · ← Tetsuji Nakagawa

1. Convolutional Neural Networks for Sentence ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP)Yoon Kim2014 · 16,299 citations
2. Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankConference on Empirical Methods in Natural Language Processing (EMNLP)Richard Socher, Alex Perelygin, Jean Wu, et al.2013 · 9,138 citations
3. Semantic Compositionality through Recursive Matrix-Vector SpacesConference on Empirical Methods in Natural Language Processing (EMNLP)Richard Socher, Brody Huval, Christopher D. Manning, et al.2012 · 1,577 citations
4. Semi-Supervised Recursive Autoencoders for Predicting Sentiment DistributionsConference on Empirical Methods in Natural Language Processing (EMNLP)Richard Socher, Jeffrey Pennington, Eric H. Huang, et al.2011 · 1,426 citations
5. Language-agnostic BERT Sentence EmbeddingAnnual Meeting of the Association for Computational Linguistics (ACL)Fangxiaoyu Feng, Yinfei Yang, Daniel Cer, et al.2020 · 1,413 citations
6. Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Li Dong, Furu Wei, Chuanqi Tan, et al.2014 · 1,217 citations
7. Baselines and Bigrams: Simple, Good Sentiment and Topic ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Sida Wang, Christopher Manning2012 · 1,136 citations
8. Massively Multilingual Neural Machine Translation in the Wild: Findings and ChallengesarXiv:1907.05019Naveen Arivazhagan, Ankur Bapna, Orhan Firat, et al.2019 · 564 citations
9. Fracking Sarcasm using Neural NetworkWorkshop on Computational Approaches to Subjectivity, Sentiment and Social Media AnalysisAniruddha Ghosh, Tony Veale2016 · 350 citations
10. Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation ProblemAnnual Meeting of the Association for Computational Linguistics (ACL)Danielle Saunders, Bill Byrne2020 · 198 citations
11. Curriculum Learning for Domain Adaptation in Neural Machine TranslationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Xuan Zhang, Pamela Shapiro, Gaurav Kumar, et al.2019 · 169 citations
12. Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification using Convolutional Neural NetworkAnnual Meeting of the Association for Computational Linguistics (ACL)Abhijit Mishra, Kuntal Dey, Pushpak Bhattacharyya2017 · 141 citations
13. High Quality Rather than High Model Probability: Minimum Bayes Risk Decoding with Neural MetricsTransactions of the Association for Computational Linguistics (TACL)Markus Freitag, David Grangier, Qijun Tan, et al.2022 · 121 citations
14. Evaluative Language Beyond Bags of Words: Linguistic Insights and Computational ApplicationsComputational LinguisticsFarah Benamara, Maite Taboada, Yannick Mathieu2017 · 104 citations
15. Exploring Joint Neural Model for Sentence Level Discourse Parsing and Sentiment AnalysisAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Bita Nejat, Giuseppe Carenini, Raymond Ng2017 · 40 citations
16. MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding MethodsarXiv:2309.10966Mara Finkelstein; Subhajit Naskar; Mehdi Mirzazadeh; Apurva Shah;, Markus Freitag2023 · 32 citations
17. Sentiment Classification of Arabic Documents: Experiments with multi-type features and ensemble algorithmsPacific Asia Conference on Language, Information and Computation (PACLIC)Amine Bayoudhi, Hatem Ghorbel, Lamia Hadrich Belguith2015 · 6 citations
18. PEAR: Pairwise Evaluation for Automatic Relative Scoring in Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Lorenzo Proietti, Roman Grundkiewicz, Matt Post2026 · 1 citation
19. A Fine-Grained Linguistic Evaluation of Low-Resource Luxembourgish–English MTWorkshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT)Nils Rehlinger2026
20. Toward Equitable Machine Translation for Atypical Speech: An LLM Post-Correction ApproachConference of the Association for Machine Translation in the Americas (AMTA)Grace Pasion, Ammon Shurtz, Stephen D. Richardson2026
21. TranslateGemma for ES-EN Financial Reports: Exploring Adaptability to Variable-Sized ContextsFinancial Narrative Processing WorkshopYanco Amor Torterolo Orta, Melina Chatzi, Antonio Moreno-Sandoval2026

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