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Who cites «Statistical Parsing of Morphologically Rich Languages (SPMRL) What, How and Whither»

62 papers of our library cite it (of the 141,840 whose bibliographies we read) · 12 with a page here, the most cited first · ← back to «Statistical Parsing of Morphologically Rich Languages (SPMRL) What, How and Whither»

    MLSUM: The Multilingual Summarization CorpusConference on Empirical Methods in Natural Language Processing (EMNLP)Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, et al.2020 · 114 citations
  1. HeBERT & HebEMO: a Hebrew BERT Model and a Tool for Polarity Analysis and Emotion RecognitionAvihay Chriqui, Inbal Yahav2021 · 68 citations
  2. A Graph-based Lattice Dependency Parser for Joint Morphological Segmentation and Syntactic AnalysisWolfgang Seeker, Özlem Çetinoğlu2015 · 66 citations
  3. What's Wrong with Hebrew NLP? And How to Make it RightReut Tsarfaty, Shoval Sadde, Stav Klein, et al.2019 · 50 citations
  4. Representations and Architectures in Neural Sentiment Analysis for Morphologically Rich Languages: A Case Study from Modern HebrewAdam Amram, Anat Ben David, Reut Tsarfaty2018 · 40 citations
  5. Neural Modeling for Named Entities and Morphology (NEMO2)Dan Bareket, Reut Tsarfaty2021 · 32 citations
  6. A Pointer Network Architecture for Joint Morphological Segmentation and TaggingAmit Seker, Reut Tsarfaty2020 · 21 citations
  7. Toward a Period-Specific Optimized Neural Network for OCR Error Correction of Historical Hebrew TextsOmri Suissa, Maayan Zhitomirsky-Geffet, Avshalom Elmalech2023 · 13 citations
  8. ParaShoot: A Hebrew Question Answering DatasetOmri Keren, Omer Levy2021 · 12 citations
  9. A Truly Joint Neural Architecture for Segmentation and ParsingDanit Yshaayahu Levi, Reut Tsarfaty2024 · 7 citations
  10. Comparing Neural Network Parsers for a Less-resourced and Morphologically-rich Language: Amharic Dependency ParserBinyam Ephrem Seyoum, Yusuke Miyao, Baye Yimam Mekonnen2020 · 2 citations
  11. Style transfer and classification in hebrew news itemsNir Weingarten2022

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

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