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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

  1. LLM-Based Synthetic Datasets: Applications and Limitations in Toxicity Detection — 2024 · Proceedings of the Fourth Workshop on Threat, Aggression & Cyberbullying @ LREC-COLING-2024
  2. Making Sentence Embeddings Robust to User-Generated Content — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  3. Étude sur la normalisation lexicale de contenus produits par les utilisateurs [A Study on the Lexical Normalisation of User-Generated Content] — 2024
  4. Script Normalization for Unconventional Writing of Under-Resourced Languages in Bilingual Communities — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  5. MS@IW at SemEval-2022 Task 4: Patronising and Condescending Language Detection with Synthetically Generated Data — 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
  6. Tackling Irony Detection using Ensemble Classifiers — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  7. A Text Editing Approach to Joint Japanese Word Segmentation, POS Tagging, and Lexical Normalization — 2021 · Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021)
  8. Sequence-to-Sequence Lexical Normalization with Multilingual Transformers — 2021 · Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021)
  9. Structured abbreviation expansion in context — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  10. Universität Regensburg MaxS at GermEval 2021 Task 1: Synthetic Data in Toxic Comment Classification — 2021 · Proceedings of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments
  11. User-Generated Text Corpus for Evaluating Japanese Morphological Analysis and Lexical Normalization — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies