--- title: "Who cites Joint Transition-Based Models for…" description: "The papers of the Elamur Research library that cite «Joint Transition-Based Models for Morpho-Syntactic Parsing: Parsing Strategies for MRLs and a Case…" canonical: "https://research.elamur.ai/free/en/papers/tacl-2019-more-joint-transition-based-models-morpho/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/tacl-2019-more-joint-transition-based-models-morpho/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Joint Transition-Based Models for…](https://md.research.elamur.ai/free/en/papers/tacl-2019-more-joint-transition-based-models-morpho/) / cited by # Who cites «Joint Transition-Based Models for Morpho-Syntactic Parsing: Parsing Strategies for MRLs and a Case Study from Modern Hebrew» 23 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/tacl-2019-more-joint-transition-based-models-morpho/) 1. [Arabic Morphosyntactic Tagging and Dependency Parsing with Large Language Models](https://md.research.elamur.ai/free/en/papers/langstream-2026-adel-arabic-morphosyntactic-tagging-dependency-parsing/) *— our card · 2026 · arXiv:2603.16718* 2. [Systematic Textual Availability of Manuscripts](https://md.research.elamur.ai/free/en/papers/aclbulk-2025-miller-systematic-textual-availability-manuscripts/) *— our card · 2025 · Proceedings of the 5th Conference on Language, Data and Knowledge* 3. [TafBERTa: Learning Grammatical Rules from Small-Scale Language Acquisition Data in Hebrew](https://md.research.elamur.ai/free/en/papers/babylm-2025-gelboim-tafberta-learning-grammatical-rules-small/) *— our card · 2025 · Proceedings of the First BabyLM Workshop* 4. [A Truly Joint Neural Architecture for Segmentation and Parsing](https://md.research.elamur.ai/free/en/papers/eacl-2024-levi-truly-joint-neural-architecture-segmentation/) *— our card · 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)* 5. [MRL Parsing Without Tears: The Case of Hebrew](https://md.research.elamur.ai/free/en/papers/findings-2024-shmidman-mrl-parsing-without-tears-case/) *— our card · 2024 · Findings of the Association for Computational Linguistics: ACL 2024* 6. [CamelParser2.0: A State-of-the-Art Dependency Parser for Arabic](https://md.research.elamur.ai/free/en/papers/ud-2023-elshabrawy-camelparser2-0-state-art-dependency/) *— our card · 2023 · Proceedings of ArabicNLP 2023* 7. [HeGeL: A Novel Dataset for Geo-Location from Hebrew Text](https://md.research.elamur.ai/free/en/papers/findings-2023-argaman-hegel-novel-dataset-geo-location/) *— our card · 2023 · Findings of the Association for Computational Linguistics: ACL 2023* 8. [HeQ: a Large and Diverse Hebrew Reading Comprehension Benchmark](https://md.research.elamur.ai/free/en/papers/findings-2023-cohen-heq-large-diverse-hebrew-reading/) *— our card · 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023* 9. [Multilingual Sequence-to-Sequence Models for Hebrew NLP](https://md.research.elamur.ai/free/en/papers/findings-2023-eyal-multilingual-sequence-sequence-models-hebrew/) *— our card · 2023 · Findings of the Association for Computational Linguistics: ACL 2023* 10. [Systematic Investigation of Strategies Tailored for Low-Resource Settings for Low-Resource Dependency Parsing](https://aclanthology.org/2023.eacl-main.158/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics* 11. [The Truth, The Whole Truth, and Nothing but the Truth: A New Benchmark Dataset for Hebrew Text Credibility Assessment](https://md.research.elamur.ai/free/en/papers/findings-2023-hagag-truth-whole-truth-nothing-but/) *— our card · 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023* 12. [AlephBERT: Language Model Pre-training and Evaluation from Sub-Word to Sentence Level](https://md.research.elamur.ai/free/en/papers/acl-2022-seker-alephbert-language-model-pre-training/) *— our card · 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)* 13. [AlephBERT:A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application With](https://md.research.elamur.ai/free/en/papers/langstream-2021-seker-alephbert-hebrew-large-pre-trained/) *— our card · 2021 · arXiv:2104.04052* 14. [Automatic Speech-Based Checklist for Medical Simulations](https://aclanthology.org/2021.nlpmc-1.4/) *— 2021 · Proceedings of the Second Workshop on Natural Language Processing for Medical Conversations* 15. [HeBERT & HebEMO: a Hebrew BERT Model and a Tool for Polarity Analysis and Emotion Recognition](https://md.research.elamur.ai/free/en/papers/langstream-2021-chriqui-hebert-hebemo-hebrew-bert-model/) *— our card · 2021 · arXiv:2102.01909* 16. [Neural Modeling for Named Entities and Morphology (NEMO2)](https://md.research.elamur.ai/free/en/papers/tacl-2021-bareket-neural-modeling-named-entities-morphology/) *— our card · 2021 · Transactions of the Association for Computational Linguistics* 17. [A Graph-Based Framework for Structured Prediction Tasks in Sanskrit](https://aclanthology.org/2020.cl-4.4/) *— 2020 · Computational Linguistics* 18. [A Pointer Network Architecture for Joint Morphological Segmentation and Tagging](https://md.research.elamur.ai/free/en/papers/ud-2020-seker-pointer-network-architecture-joint-morphological/) *— our card · 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020* 19. [From SPMRL to NMRL: What Did We Learn (and Unlearn) in a Decade of Parsing Morphologically-Rich Languages (MRLs)?](https://aclanthology.org/2020.acl-main.660/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics* 20. [Getting the \#\#life out of living: How Adequate Are Word-Pieces for Modelling Complex Morphology?](https://aclanthology.org/2020.sigmorphon-1.24/) *— 2020 · Proceedings of the 17th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology* 21. [Keep it Surprisingly Simple: A Simple First Order Graph Based Parsing Model for Joint Morphosyntactic Parsing in Sanskrit](https://aclanthology.org/2020.emnlp-main.388/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)* 22. [SHR++: An Interface for Morpho-syntactic Annotation of Sanskrit Corpora](https://aclanthology.org/2020.lrec-1.874/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference* 23. [What's Wrong with Hebrew NLP? And How to Make it Right](https://md.research.elamur.ai/free/en/papers/aclbulk-2019-tsarfaty-what-s-wrong-hebrew-nlp/) *— our card · 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations*