---
title: "Who cites Cross-Language Text — 72 citing papers"
description: "72 papers of the Elamur Research library cite «Cross-Language Text Classification Using Structural Correspondence Learning», found in their…"
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---
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# Who cites «Cross-Language Text Classification Using Structural Correspondence Learning»

72 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 «Cross-Language Text Classification Using Structural Correspondence Learning»](https://md.research.elamur.ai/free/en/papers/prettenhofer-2010-cross-language-text-classification-structural/)

1. [**FlauBERT: Unsupervised Language Model Pre-training for French arXiv:1912.05372**Hang Le, Loïc Vial, Jibril Frej, et al.*2019 · 297 citations*](https://md.research.elamur.ai/free/en/papers/le-2019-flaubert-unsupervised-language-model-pre/) **[The Multilingual Amazon Reviews Corpus](https://md.research.elamur.ai/free/en/papers/keung-2020-multilingual-amazon-reviews-corpus/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Phillip Keung, Yichao Lu, György Szarvas, et al.*2020 · 256 citations* **[Retrieval of the Best Counterargument without Prior Topic Knowledge](https://md.research.elamur.ai/free/en/papers/wachsmuth-2018-retrieval-best-counterargument-without-prior/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Henning Wachsmuth, Shahbaz Syed, Benno Stein*2018 · 196 citations* **[Multi-Source Cross-Lingual Model Transfer: Learning What to Share](https://md.research.elamur.ai/free/en/papers/chen-2019-multi-source-cross-lingual-model/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xilun Chen, Ahmed Hassan Awadallah, Hany Hassan, et al.*2019 · 160 citations* **[LLMs Are Few-Shot In-Context Low-Resource Language Learners](https://md.research.elamur.ai/free/en/papers/cahyawijaya-2024-llms-are-few-shot-context/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Samuel Cahyawijaya, Holy Lovenia, Pascale Fung*2024 · 92 citations* **[Multilingual LLMs are Better Cross-lingual In-context Learners with Alignment](https://md.research.elamur.ai/free/en/papers/tanwar-2023-multilingual-llms-are-better-cross/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Eshaan Tanwar, Subhabrata Dutta, Manish Borthakur, et al.*2023 · 81 citations* [**Transferring Monolingual Model to Low-Resource Language: The Case of Tigrinya arXiv:2006.07698**Abrhalei Tela; Abraham Woubie;, Ville Hautamaki*2020 · 9 citations*](https://md.research.elamur.ai/free/en/papers/tela-2020-transferring-monolingual-model-low-resource/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/prettenhofer-2010-cross-language-text-classification-structural/) — Cross-Language Text Classification Using Structural Correspondence Learning