🔗 Who cites «Charagram: Embedding Words and Sentences via Character n-grams»

73 papers of our library cite it (of the 141,840 whose bibliographies we read) · 8 with a page here, the most cited first · ← back to «Charagram: Embedding Words and Sentences via Character n-grams»

1. Deep Contextualized Word RepresentationsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Matthew E. Peters, Mark Neumann, Mohit Iyyer, et al.2018 · 14,852 citations
2. Enriching Word Vectors with Subword InformationTransactions of the Association for Computational Linguistics (TACL)Piotr Bojanowski, Edouard Grave, Armand Joulin, et al.2017 · 11,848 citations
3. SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused EvaluationInternational Workshop on Semantic Evaluation (SemEval)Daniel Cer, Mona Diab, Eneko Agirre, et al.2017 · 1,813 citations
4. SentEval: An Evaluation Toolkit for Universal Sentence RepresentationsLanguage Resources and Evaluation Conference (LREC)Alexis Conneau, Douwe Kiela2018 · 743 citations
5. A Joint Many-Task Model: Growing a Neural Network for Multiple NLP TasksConference on Empirical Methods in Natural Language Processing (EMNLP)Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka, et al.2016 · 668 citations
6. 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
7. Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual ConstraintsTransactions of the Association for Computational Linguistics (TACL)Nikola Mrkšić, Ivan Vulić, Diarmuid Ó Séaghdha, et al.2017 · 236 citations
8. Morphological Word Embeddings for Arabic Neural Machine Translation in Low-Resource SettingsPamela Shapiro, Kevin Duh2018 · 25 citations

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

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