🔗 Who cites «CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters»

73 papers of our library cite it (of the 141,840 whose bibliographies we read) · 5 with a page here, the most cited first · ← back to «CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters»

Canine: Pre-training an Efficient Tokenization-Free Encoder for Language RepresentationTransactions of the Association for Computational Linguistics (TACL)Jonathan H. Clark, Dan Garrette, Iulia Turc, et al.2022 · 297 citations
1. Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLParXiv:2112.10508Sabrina J. Mielke, Zaid Alyafeai, Elizabeth Salesky, et al.2021 · 190 citations
2. Charformer: Fast Character Transformers via Gradient-based Subword TokenizationarXiv:2106.12672Yi Tay, Vinh Q. Tran, Sebastian Ruder, et al.2021 · 181 citations
3. Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language UnderstandingarXiv:2205.10687Abbas Ghaddar, Yimeng Wu, Sunyam Bagga, et al.2022 · 9 citations
4. NeoDictaBERT: Pushing the Frontier of BERT models for HebrewShaltiel Shmidman, Avi Shmidman, Moshe Koppel2025

68 more papers of our library cite it; they have no page here yet.

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