---
title: "Who cites Hiroshi Noji — 115 papers of our library"
description: "115 papers of the Elamur Research library cite the works of Hiroshi Noji, found in their bibliographies; the most cited first."
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---
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# Who cites Hiroshi Noji

115 citations of their works from 115 papers of our library (of the 149,439 whose bibliographies we read) · 16 with a page here, the most cited first · [← Hiroshi Noji](https://md.research.elamur.ai/free/en/authors/hiroshi-noji/)

1. **[Canine: Pre-training an Efficient Tokenization-Free Encoder for Language Representation](https://md.research.elamur.ai/free/en/papers/clark-2022-canine-pre-training-efficient-tokenization/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jonathan H. Clark, Dan Garrette, Iulia Turc, et al.*2022 · 301 citations*
2. **[The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives](https://md.research.elamur.ai/free/en/papers/voita-2019-bottom-up-evolution-representations-transformer/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Elena Voita, Rico Sennrich, Ivan Titov*2019 · 225 citations*
3. **[Head-Driven Phrase Structure Grammar Parsing on Penn Treebank](https://md.research.elamur.ai/free/en/papers/zhou-2019-head-driven-phrase-structure-grammar/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junru Zhou, Hai Zhao*2019 · 219 citations*
4. [**Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP arXiv:2112.10508**Sabrina J. Mielke, Zaid Alyafeai, Elizabeth Salesky, et al.*2021 · 191 citations*](https://md.research.elamur.ai/free/en/papers/mielke-2021-between-words-characters-brief-history/)
5. [**Charformer: Fast Character Transformers via Gradient-based Subword Tokenization arXiv:2106.12672**Yi Tay, Vinh Q. Tran, Sebastian Ruder, et al.*2021 · 186 citations*](https://md.research.elamur.ai/free/en/papers/tay-2021-charformer-fast-character-transformers-gradient/)
6. **[From Word Types to Tokens and Back: A Survey of Approaches to Word Meaning Representation and Interpretation](https://md.research.elamur.ai/free/en/papers/apidianaki-2023-word-types-tokens-back-survey/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Marianna Apidianaki*2023 · 49 citations*
7. **[Compositional Evaluation on Japanese Textual Entailment and Similarity](https://md.research.elamur.ai/free/en/papers/yanaka-2022-compositional-evaluation-japanese-textual-entailment/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Hitomi Yanaka, Koji Mineshima*2022 · 33 citations*
8. **[Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Processing](https://md.research.elamur.ai/free/en/papers/ghaddar-2022-revisiting-pre-trained-language-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Abbas Ghaddar, Yimeng Wu, Sunyam Bagga, et al.*2022 · 27 citations*
9. **[Are Character-level Translations Worth the Wait? Comparing ByT5 and mT5 for Machine Translation](https://md.research.elamur.ai/free/en/papers/edman-2024-are-character-level-translations-worth/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Lukas Edman, Gabriele Sarti, Antonio Toral, et al.*2024 · 17 citations*
10. [**Combining Event Semantics and Degree Semantics for Natural Language Inference**Izumi Haruta, Koji Mineshima, Daisuke Bekki*2020 · 12 citations*](https://md.research.elamur.ai/free/en/papers/haruta-2020-combining-event-semantics-degree-semantics/)
11. **[Retrofitting Large Language Models with Dynamic Tokenization](https://md.research.elamur.ai/free/en/papers/feher-2025-retrofitting-large-language-models-dynamic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Darius Feher, Ivan Vulić, Benjamin Minixhofer*2025 · 11 citations*
12. [**Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Understanding arXiv:2205.10687**Abbas Ghaddar, Yimeng Wu, Sunyam Bagga, et al.*2022 · 9 citations*](https://md.research.elamur.ai/free/en/papers/ghaddar-2022-revisiting-pre-trained-language-models-their/)
13. **[The Impact of Word Splitting on the Semantic Content of Contextualized Word Representations](https://md.research.elamur.ai/free/en/papers/soler-2024-impact-word-splitting-semantic-content/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Aina Garí Soler, Matthieu Labeau, Chloé Clavel*2024 · 7 citations*
14. [**The Parallel Meaning Bank: A Framework for Semantically Annotating Multiple Languages**Lasha Abzianidze, Rik van Noord, Chunliu Wang, et al.*2020 · 7 citations*](https://md.research.elamur.ai/free/en/papers/abzianidze-2020-parallel-meaning-bank-framework-semantically/)
15. **[Consonant is all you need: a compact representation of English text for efficient NLP](https://md.research.elamur.ai/free/en/papers/shaibani-2023-consonant-is-all-you-need/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Maged S. Al-shaibani, Irfan Ahmad*2023 · 6 citations*
16. [**NeoDictaBERT: Pushing the Frontier of BERT models for Hebrew**Shaltiel Shmidman, Avi Shmidman, Moshe Koppel*2025*](https://md.research.elamur.ai/free/en/papers/shmidman-2025-neodictabert-pushing-frontier-bert-models/)

99 more citing papers of our library have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/authors/hiroshi-noji/) — Hiroshi Noji