---
title: "Reut Tsarfaty — all works — Elamur Research"
description: "All 46 works of Reut Tsarfaty in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
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---
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# Reut Tsarfaty — all works

46 works · [← Reut Tsarfaty](https://md.research.elamur.ai/free/en/authors/reut-tsarfaty/)

1. [**Universal Dependencies v1: A Multilingual Treebank Collection**Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, et al.*English · 1,742 citations*](https://md.research.elamur.ai/free/en/papers/nivre-2016-universal-dependencies-v1-multilingual-treebank/)
2. [**Evaluating Models' Local Decision Boundaries via Contrast Sets**Matt Gardner, Yoav Artzi, Victoria Basmov, et al.*Mova's core list · 531 citations*](https://md.research.elamur.ai/free/en/papers/gardner-2020-evaluating-models-local-decision-boundaries/)
3. **[Overview of the SPMRL 2013 Shared Task: A Cross-Framework Evaluation of Parsing Morphologically Rich Languages](https://md.research.elamur.ai/free/en/papers/seddah-2013-overview-spmrl-2013-shared-task/) [Workshop on Statistical Parsing of Morphologically-Rich Languages](https://md.research.elamur.ai/free/en/venues/workshop-on-statistical-parsing-of-morphologically-rich-languages/)**Djamé Seddah, Reut Tsarfaty, Sandra Kübler, et al.*2013 · 245 citations*
4. **[Statistical Parsing of Morphologically Rich Languages (SPMRL) What, How and Whither](https://md.research.elamur.ai/free/en/papers/tsarfaty-2010-statistical-parsing-morphologically-rich-languages/) [NAACL HLT Workshop on Statistical Parsing of Morphologically-Rich Languages](https://md.research.elamur.ai/free/en/venues/naacl-hlt-workshop-on-statistical-parsing-of-morphologically-rich-languages/)**Reut Tsarfaty, Djamé Seddah, Yoav Goldberg, et al.*2010 · 158 citations*
5. **[Multilingual Instruction Tuning With Just a Pinch of Multilinguality](https://md.research.elamur.ai/free/en/papers/shaham-2024-multilingual-instruction-tuning-just-pinch/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Uri Shaham, Jonathan Herzig, Roee Aharoni, et al.*2024 · 78 citations*
6. **[QADiscourse - Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines](https://md.research.elamur.ai/free/en/papers/pyatkin-2020-qadiscourse-discourse-relations-as-qa/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Valentina Pyatkin, Ayal Klein, Reut Tsarfaty, et al.*2020 · 78 citations*
7. [**Integrated Morphological and Syntactic Disambiguation for Modern Hebrew**Reut Tsarfaty*Modern Hebrew · 67 citations*](https://md.research.elamur.ai/free/en/papers/tsarfaty-2006-integrated-morphological-syntactic-disambiguation-modern/)
8. [**Joint Transition-Based Models for Morpho-Syntactic Parsing: Parsing Strategies for MRLs and a Case Study from Modern Hebrew**Amir More, Amit Seker, Victoria Basmova, et al.*Modern Hebrew · 60 citations*](https://md.research.elamur.ai/free/en/papers/more-2019-joint-transition-based-models-morpho/)
9. [**AlephBERT: Language Model Pre-training and Evaluation from Sub-Word to Sentence Level**Amit Seker, Elron Bandel, Dan Bareket, et al.*Modern Hebrew · 57 citations*](https://md.research.elamur.ai/free/en/papers/seker-2022-alephbert-language-model-pre-training/)
10. [**AlephBERT: A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application With**Amit Seker, Elron Bandel, Dan Bareket, et al.*Modern Hebrew · 57 citations*](https://md.research.elamur.ai/free/en/papers/seker-2021-alephbert-hebrew-large-pre-trained/)
11. [**What's Wrong with Hebrew NLP? And How to Make it Right**Reut Tsarfaty, Shoval Sadde, Stav Klein, et al.*Ancient Hebrew · 50 citations*](https://md.research.elamur.ai/free/en/papers/tsarfaty-2019-what-s-wrong-hebrew-nlp/)
12. [**Evaluating Dependency Parsing: Robust and Heuristics-Free Cross-Annotation Evaluation**Reut Tsarfaty, Joakim Nivre, Evelina Andersson*English · 46 citations*](https://md.research.elamur.ai/free/en/papers/tsarfaty-2011-evaluating-dependency-parsing-robust-heuristics/)
13. [**Representations and Architectures in Neural Sentiment Analysis for Morphologically Rich Languages: A Case Study from Modern Hebrew**Adam Amram, Anat Ben David, Reut Tsarfaty*Modern Hebrew · 40 citations*](https://md.research.elamur.ai/free/en/papers/amram-2018-representations-architectures-neural-sentiment-analysis/)
14. [**Neural Modeling for Named Entities and Morphology (NEMO2)**Dan Bareket, Reut Tsarfaty*Modern Hebrew · 33 citations*](https://md.research.elamur.ai/free/en/papers/bareket-2021-neural-modeling-named-entities-morphology/)
15. [**The Hebrew Universal Dependency Treebank: Past, Present and Future**Shoval Sade, Amit Seker, Reut Tsarfaty*Modern Hebrew · 32 citations*](https://md.research.elamur.ai/free/en/papers/sade-2018-hebrew-universal-dependency-treebank-past/)
16. [**Large Pre-Trained Models with Extra-Large Vocabularies: A Contrastive Analysis of Hebrew BERT Models and a New One to Outperform Them All**Eylon Gueta, Avi Shmidman, Shaltiel Shmidman, et al.*Ancient Hebrew · 28 citations*](https://md.research.elamur.ai/free/en/papers/gueta-2022-large-pre-trained-models-extra/)
17. **[Text-based NP Enrichment](https://md.research.elamur.ai/free/en/papers/elazar-2022-text-based-np-enrichment/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Yanai Elazar, Victoria Basmov, Yoav Goldberg, et al.*2022 · 23 citations*
18. [**Word-Based or Morpheme-Based? Annotation Strategies for Modern Hebrew Clitics**Reut Tsarfaty, Yoav Goldberg*Modern Hebrew · 23 citations*](https://md.research.elamur.ai/free/en/papers/tsarfaty-2008-word-based-or-morpheme-based/)
19. [**A Pointer Network Architecture for Joint Morphological Segmentation and Tagging**Amit Seker, Reut Tsarfaty*Modern Hebrew · 22 citations*](https://md.research.elamur.ai/free/en/papers/seker-2020-pointer-network-architecture-joint-morphological/)
20. **[Draw Me a Flower: Processing and Grounding Abstraction in Natural Language](https://md.research.elamur.ai/free/en/papers/lachmy-2022-draw-me-flower-processing-grounding/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Royi Lachmy, Valentina Pyatkin, Avshalom Manevich, et al.*2022 · 21 citations*
21. **[Breaking Character: Are Subwords Good Enough for MRLs After All? ↗](https://arxiv.org/abs/2204.04748) arXiv (Cornell University) · no summary yet**Omri Keren et al.*2022 · 21 citations*
22. [**The Possible, the Plausible, and the Desirable: Event-Based Modality Detection for Language Processing**Valentina Pyatkin, Shoval Sadde, Aynat Rubinstein, et al.*English · 21 citations*](https://md.research.elamur.ai/free/en/papers/pyatkin-2021-possible-plausible-desirable-event-based/)
23. [**Modeling Morphosyntactic Agreement in Constituency-Based Parsing of Modern Hebrew**Reut Tsarfaty, Khalil Sima'an*Modern Hebrew · 21 citations*](https://md.research.elamur.ai/free/en/papers/tsarfaty-2010-modeling-morphosyntactic-agreement-constituency-based/)
24. [**pyBART: Evidence-based Syntactic Transformations for IE**Aryeh Tiktinsky, Yoav Goldberg, Reut Tsarfaty*English · 20 citations*](https://md.research.elamur.ai/free/en/papers/tiktinsky-2020-pybart-evidence-based-syntactic-transformations/)
25. **[Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Design](https://md.research.elamur.ai/free/en/papers/pyatkin-2023-design-choices-crowdsourcing-implicit-discourse/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Valentina Pyatkin, Frances Yung, Merel C. J. Scholman, et al.*2023 · 19 citations*
26. [**HeQ: a Large and Diverse Hebrew Reading Comprehension Benchmark**Amir DN Cohen, Hilla Merhav, Yoav Goldberg, et al.*Modern Hebrew · 13 citations*](https://md.research.elamur.ai/free/en/papers/cohen-2023-heq-large-diverse-hebrew-reading/)
27. **[Design Choices in Crowdsourcing Discourse Relation Annotations: The Effect of Worker Selection and Training](https://md.research.elamur.ai/free/en/papers/scholman-2022-design-choices-crowdsourcing-discourse-relation/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Merel Scholman, Valentina Pyatkin, Frances Yung, et al.*2022 · 11 citations*
28. **[Morphology Without Borders: Clause-Level Morphology](https://md.research.elamur.ai/free/en/papers/goldman-2022-morphology-without-borders-clause-level/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Omer Goldman, Reut Tsarfaty*2022 · 11 citations*
29. [**Multilingual Sequence-to-Sequence Models for Hebrew NLP**Matan Eyal, Hila Noga, Roee Aharoni, et al.*Modern Hebrew · 9 citations*](https://md.research.elamur.ai/free/en/papers/eyal-2023-multilingual-sequence-sequence-models-hebrew/)
30. [**Universal Morpho-Syntactic Parsing and the Contribution of Lexica: Analyzing the ONLP Lab Submission to the CoNLL 2018 Shared Task**Amit Seker, Amir More, Reut Tsarfaty*Modern Hebrew · 9 citations*](https://md.research.elamur.ai/free/en/papers/seker-2018-universal-morpho-syntactic-parsing-contribution/)
31. [**MRL Parsing Without Tears: The Case of Hebrew**Shaltiel Shmidman, Avi Shmidman, Moshe Koppel, et al.*Ancient Hebrew · 8 citations*](https://md.research.elamur.ai/free/en/papers/shmidman-2024-mrl-parsing-without-tears-case/)
32. [**A Truly Joint Neural Architecture for Segmentation and Parsing**Danit Yshaayahu Levi, Reut Tsarfaty*Modern Hebrew · 7 citations*](https://md.research.elamur.ai/free/en/papers/levi-2024-truly-joint-neural-architecture-segmentation/)
33. [**HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew**Tzuf Paz-Argaman, Itai Mondshine, Asaf Achi Mordechai, et al.*Modern Hebrew · 7 citations*](https://md.research.elamur.ai/free/en/papers/argaman-2024-hesum-novel-dataset-abstractive-text/)
34. [**Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew**Eylon Gueta, Omer Goldman, Reut Tsarfaty*Modern Hebrew · 7 citations*](https://md.research.elamur.ai/free/en/papers/gueta-2023-explicit-morphological-knowledge-improves-pre/)
35. [**A Novel Challenge Set for Hebrew Morphological Disambiguation and Diacritics Restoration**Avi Shmidman, Joshua Guedalia, Shaltiel Shmidman, et al.*Ancient Hebrew · 6 citations*](https://md.research.elamur.ai/free/en/papers/shmidman-2020-novel-challenge-set-hebrew-morphological/)
36. **[MoNaCo: More Natural and Complex Questions for Reasoning Across Dozens of Documents](https://md.research.elamur.ai/free/en/papers/wolfson-2026-monaco-more-natural-complex-questions/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Tomer Wolfson, Harsh Trivedi, Mor Geva, et al.*2026 · 5 citations*
37. [**Do Pretrained Contextual Language Models Distinguish between Hebrew Homograph Analyses?**Avi Shmidman, Cheyn Shmuel Shmidman, Dan Bareket, et al.*Ancient Hebrew · 5 citations*](https://md.research.elamur.ai/free/en/papers/shmidman-2023-do-pretrained-contextual-language-models/)
38. [**HeGeL: A Novel Dataset for Geo-Location from Hebrew Text**Tzuf Paz-Argaman, Tal Bauman, Itai Mondshine, et al.*Modern Hebrew · 4 citations*](https://md.research.elamur.ai/free/en/papers/argaman-2023-hegel-novel-dataset-geo-location/)
39. **[Universal Dependencies v1: A Multilingual Treebank Collection ↗](https://openalex.org/W6987877205) UTUPub (University of Turku) · no summary yet**Ryan McDonald et al.*2022 · 4 citations*
40. [**Universal Joint Morph-Syntactic Processing: The Open University of Israel's Submission to The CoNLL 2017 Shared Task**Amir More, Reut Tsarfaty*Modern Hebrew · 1 citation*](https://md.research.elamur.ai/free/en/papers/more-2017-universal-joint-morph-syntactic-processing/)
41. **[Book Review: Design Patterns in Fluid Construction Grammar edited by Luc Steels](https://md.research.elamur.ai/free/en/papers/schneider-2013-book-review-design-patterns-fluid/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Nathan Schneider, Reut Tsarfaty*2013 · 1 citation*
42. [**Beyond Word Boundaries: A Hebrew Coreference Benchmark and an Evaluation Protocol for Morphologically Complex Text**Refael Shaked Greenfeld, Reut Tsarfaty*Modern Hebrew*](https://md.research.elamur.ai/free/en/papers/greenfeld-2026-beyond-word-boundaries-hebrew-coreference/)
43. **[From Benchmarks to Skills: Low-Rank Factors for LLM Evaluation](https://md.research.elamur.ai/free/en/papers/maimon-2026-benchmarks-skills-low-rank-factors/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Aviya Maimon, Amir David Nisan Cohen, Gal Vishne, et al.*2026*
44. [**MameLoshnLM: Yiddish Language Model and Evaluation Benchmark arXiv:2608.05850 · Proceedings of the Third Conference on Language Modeling (COLM 2026), 2026**Uri Katz, Omer Goldman, Tomasz Limisiewicz, et al.*2026*](https://md.research.elamur.ai/free/en/papers/katz-2026-mameloshnlm-yiddish-language-model-evaluation/)
45. [**HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew**Itai Mondshine, Tzuf Paz-Argaman, Asaf Achi Mordechai, et al.*Modern Hebrew*](https://md.research.elamur.ai/free/en/papers/mondshine-2024-hesum-novel-dataset-abstractive-text/)
46. [**The Truth, The Whole Truth, and Nothing but the Truth: A New Benchmark Dataset for Hebrew Text Credibility Assessment**Ben Hagag, Reut Tsarfaty*Modern Hebrew*](https://md.research.elamur.ai/free/en/papers/hagag-2023-truth-whole-truth-nothing-but/)