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Who cites «Using Stem-Templates to Improve Arabic POS and Gender/Number Tagging»

12 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

  1. Arabic Citation Parsing using Part of Speech and Named Entity Recognition — 2026 · Proceedings of the 2nd Workshop on NLP for Languages Using Arabic Script
  2. Active Learning for Multidialectal Arabic POS Tagging — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  3. ASAD: Arabic Social media Analytics and unDerstanding — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations
  4. Toward Gender-Inclusive Coreference Resolution: An Analysis of Gender and Bias Throughout the Machine Learning Lifecycle* — 2021
  5. Toward Gender-Inclusive Coreference Resolution — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  6. Part-of-Speech Tagging for Arabic Gulf Dialect Using Bi-LSTM — 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
  7. Studying the History of the Arabic Language: Language Technology and a Large-Scale Historical Corpus — 2018 · arXiv:1809.03891
  8. Farasa: A Fast and Furious Segmenter for Arabic — our card · 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations
  9. Farasa: A New Fast and Accurate Arabic Word Segmenter — 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
  10. Answer Selection in Arabic Community Question Answering: A Feature-Rich Approach — 2015 · Proceedings of the Second Workshop on Arabic Natural Language Processing
  11. Randomized Greedy Inference for Joint Segmentation, POS Tagging and Dependency Parsing — 2015 · Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  12. Verifiably Effective Arabic Dialect Identification — 2014 · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)