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# Who cites «Synthetic Data for English Lexical Normalization: How Close Can We Get to Manually Annotated Data?»

11 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/dekker-2020-synthetic-data-english-lexical-normalization/)

1. [LLM-Based Synthetic Datasets: Applications and Limitations in Toxicity Detection](https://aclanthology.org/2024.trac-1.6/) *— 2024 · Proceedings of the Fourth Workshop on Threat, Aggression & Cyberbullying @ LREC-COLING-2024*
2. [Making Sentence Embeddings Robust to User-Generated Content](https://aclanthology.org/2024.lrec-main.958/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
3. [Script Normalization for Unconventional Writing of Under-Resourced Languages in Bilingual Communities](https://aclanthology.org/2023.acl-long.809/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
4. [Tackling Irony Detection using Ensemble Classifiers](https://aclanthology.org/2022.lrec-1.754/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
5. [Sequence-to-Sequence Lexical Normalization with Multilingual Transformers](https://aclanthology.org/2021.wnut-1.53/) *— 2021 · Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021)*
6. [Structured abbreviation expansion in context](https://aclanthology.org/2021.findings-emnlp.85/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
7. [User-Generated Text Corpus for Evaluating Japanese Morphological Analysis and Lexical Normalization](https://aclanthology.org/2021.naacl-main.438/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
8. higashiyama-2021-text-editing-approach-joint-japanese
9. meyer-2022-ms-iw-semeval-2022-task
10. nishimwe-2024-etude-sur-la-normalisation-lexicale
11. schmidhuber-2021-universitat-regensburg-maxs-germeval-2021
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