---
title: "Bar-Ilan University — works"
description: "102 works by researchers of Bar-Ilan University in our library · page 1 of 2, the most cited first."
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# Works of Bar-Ilan University

102 works · page 1 of 2 · the most cited first · [← Bar-Ilan University](https://md.research.elamur.ai/free/en/universities/bar-ilan-university/)

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1. [**Universal Dependencies v1: A Multilingual Treebank Collection**Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, et al.*2016 · 1,739 citations*](https://md.research.elamur.ai/free/en/papers/nivre-2016-universal-dependencies-v1-multilingual-treebank/)
2. [**Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies**Tal Linzen, Emmanuel Dupoux, Yoav Goldberg*2016 · 1,239 citations*](https://md.research.elamur.ai/free/en/papers/linzen-2016-assessing-ability-lstms-learn-syntax/)
3. [**Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations**Eliyahu Kiperwasser, Yoav Goldberg*2016 · 903 citations*](https://md.research.elamur.ai/free/en/papers/kiperwasser-2016-simple-accurate-dependency-parsing-bidirectional/)
4. [**Linguistic Regularities in Sparse and Explicit Word Representations**Omer Levy, Yoav Goldberg*2014 · 790 citations*](https://md.research.elamur.ai/free/en/papers/levy-2014-linguistic-regularities-sparse-explicit-word/)
5. [**Universal Dependency Annotation for Multilingual Parsing**Ryan McDonald, Joakim Nivre, Yvonne Quirmbach-Brundage, et al.*2013 · 749 citations*](https://md.research.elamur.ai/free/en/papers/mcdonald-2013-universal-dependency-annotation-multilingual-parsing/)
6. [**Towards Faithfully Interpretable NLP Systems: How Should We Define and Evaluate Faithfulness?**Alon Jacovi, Yoav Goldberg*2020 · 747 citations*](https://md.research.elamur.ai/free/en/papers/jacovi-2020-faithfully-interpretable-nlp-systems-how/)
7. [**context2vec: Learning Generic Context Embedding with Bidirectional LSTM**Oren Melamud, Jacob Goldberger, Ido Dagan*2016 · 666 citations*](https://md.research.elamur.ai/free/en/papers/melamud-2016-context2vec-learning-generic-context-embedding/)
8. [**Evaluating Models' Local Decision Boundaries via Contrast Sets**Matt Gardner, Yoav Artzi, Victoria Basmov, et al.*2020 · 520 citations*](https://md.research.elamur.ai/free/en/papers/gardner-2020-evaluating-models-local-decision-boundaries/)
9. [**Breaking NLI Systems with Sentences that Require Simple Lexical Inferences**Max Glockner, Vered Shwartz, Yoav Goldberg*2018 · 517 citations*](https://md.research.elamur.ai/free/en/papers/glockner-2018-breaking-nli-systems-sentences-that/)
10. [**Assessing BERT's Syntactic Abilities**Yoav Goldberg*2019 · 509 citations*](https://md.research.elamur.ai/free/en/papers/goldberg-2019-assessing-bert-s-syntactic-abilities/)
11. [**Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection**Shauli Ravfogel, Yanai Elazar, Hila Gonen, et al.*2020 · 480 citations*](https://md.research.elamur.ai/free/en/papers/ravfogel-2020-null-it-out-guarding-protected/)
12. [**Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference**Tobias Falke, Leonardo F. R. Ribeiro, Prasetya Ajie Utama, et al.*2019 · 444 citations*](https://md.research.elamur.ai/free/en/papers/falke-2019-ranking-generated-summaries-correctness-interesting/)
13. [**oLMpics — On what Language Model Pre-training Captures**Alon Talmor, Yanai Elazar, Yoav Goldberg, et al.*2019 · 432 citations*](https://md.research.elamur.ai/free/en/papers/talmor-2019-olmpics-language-model-pre-training/)
14. [**Controlling Linguistic Style Aspects in Neural Language Generation**Jessica Ficler, Yoav Goldberg*2017 · 424 citations*](https://md.research.elamur.ai/free/en/papers/ficler-2017-controlling-linguistic-style-aspects-neural/)
15. [**BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models**Elad Ben-Zaken, Shauli Ravfogel, Yoav Goldberg*2021 · 388 citations*](https://md.research.elamur.ai/free/en/papers/ben-zaken-2021-bitfit-simple-parameter-efficient-fine/)
16. [**Massively Multilingual Neural Machine Translation**Roee Aharoni, Melvin Johnson, Orhan Firat*2019 · 367 citations*](https://md.research.elamur.ai/free/en/papers/aharoni-2019-massively-multilingual-neural-machine-translation/)
17. [**Adversarial Removal of Demographic Attributes from Text Data**Yanai Elazar, Yoav Goldberg*2018 · 357 citations*](https://md.research.elamur.ai/free/en/papers/elazar-2018-adversarial-removal-demographic-attributes-text/)
18. [**Transformer Feed-Forward Layers Build Predictions by Promoting Concepts in the Vocabulary Space**Mor Geva, Avi Caciularu, Kevin Ro Wang, et al.*2022 · 342 citations*](https://md.research.elamur.ai/free/en/papers/geva-2022-transformer-feed-forward-layers-build/)
19. [**Unsupervised Domain Clusters in Pretrained Language Models**Roee Aharoni, Yoav Goldberg*2020 · 326 citations*](https://md.research.elamur.ai/free/en/papers/aharoni-2020-unsupervised-domain-clusters-pretrained-language/)
20. [**Do Supervised Distributional Methods Really Learn Lexical Inference Relations?**Omer Levy, Steffen Remus, Chris Biemann, et al.*2015 · 325 citations*](https://md.research.elamur.ai/free/en/papers/levy-2015-do-supervised-distributional-methods-really/)
21. [**Improving Hypernymy Detection with an Integrated Path-based and Distributional Method**Vered Shwartz, Yoav Goldberg, Ido Dagan*2016 · 319 citations*](https://md.research.elamur.ai/free/en/papers/shwartz-2016-improving-hypernymy-detection-integrated-path/)
22. [**On the Practical Computational Power of Finite Precision RNNs for Language Recognition**Gail Weiss, Yoav Goldberg, Eran Yahav*2018 · 310 citations*](https://md.research.elamur.ai/free/en/papers/weiss-2018-practical-computational-power-finite-precision/)
23. [**The Distributional Inclusion Hypotheses and Lexical Entailment**Maayan Geffet, Ido Dagan*2005 · 290 citations*](https://md.research.elamur.ai/free/en/papers/geffet-2005-distributional-inclusion-hypotheses-lexical-entailment/)
24. [**Zero-Shot Transfer Learning for Event Extraction**Lifu Huang, Heng Ji, Kyunghyun Cho, et al.*2018 · 272 citations*](https://md.research.elamur.ai/free/en/papers/huang-2018-zero-shot-transfer-learning-event/)
25. [**Overview of the SPMRL 2013 Shared Task: A Cross-Framework Evaluation of Parsing Morphologically Rich Languages**Djamé Seddah, Reut Tsarfaty, Sandra Kübler, et al.*2013 · 244 citations*](https://md.research.elamur.ai/free/en/papers/seddah-2013-overview-spmrl-2013-shared-task/)
26. [**Amnesic Probing: Behavioral Explanation with Amnesic Counterfactuals**Yanai Elazar, Shauli Ravfogel, Alon Jacovi, et al.*2021 · 241 citations*](https://md.research.elamur.ai/free/en/papers/elazar-2021-amnesic-probing-behavioral-explanation-amnesic/)
27. [**SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge**Myroslava Dzikovska, Rodney Nielsen, Chris Brew, et al.*2013 · 235 citations*](https://md.research.elamur.ai/free/en/papers/dzikovska-2013-semeval-2013-task-7-joint/)
28. [**Translationese and Its Dialects**Moshe Koppel, Noam Ordan*2011 · 234 citations*](https://md.research.elamur.ai/free/en/papers/koppel-2011-translationese-its-dialects/)
29. [**Towards String-To-Tree Neural Machine Translation**Roee Aharoni, Yoav Goldberg*2017 · 220 citations*](https://md.research.elamur.ai/free/en/papers/aharoni-2017-string-tree-neural-machine-translation/)
30. [**Break It Down: A Question Understanding Benchmark**Tomer Wolfson, Mor Geva, Ankit Gupta, et al.*2020 · 218 citations*](https://md.research.elamur.ai/free/en/papers/wolfson-2020-break-it-down-question-understanding/)
31. [**Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models**Mosh Levy, Alon Jacoby, Yoav Goldberg*2024 · 212 citations*](https://md.research.elamur.ai/free/en/papers/levy-2024-same-task-more-tokens-impact/)
32. [**Morphological Inflection Generation with Hard Monotonic Attention**Roee Aharoni, Yoav Goldberg*2017 · 208 citations*](https://md.research.elamur.ai/free/en/papers/aharoni-2017-morphological-inflection-generation-hard-monotonic/)
33. [**Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss**Barbara Plank, Anders Søgaard, Yoav Goldberg*2016 · 201 citations*](https://md.research.elamur.ai/free/en/papers/plank-2016-multilingual-part-speech-tagging-bidirectional/)
34. [**Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution**Shany Barhom, Vered Shwartz, Alon Eirew, et al.*2019 · 164 citations*](https://md.research.elamur.ai/free/en/papers/barhom-2019-revisiting-joint-modeling-cross-document/)
35. [**The Role of Context Types and Dimensionality in Learning Word Embeddings**Oren Melamud, David McClosky, Siddharth Patwardhan, et al.*2016 · 144 citations*](https://md.research.elamur.ai/free/en/papers/melamud-2016-role-context-types-dimensionality-learning/)
36. [**Scheduled Multi-Task Learning: From Syntax to Translation**Eliyahu Kiperwasser, Miguel Ballesteros*2018 · 130 citations*](https://md.research.elamur.ai/free/en/papers/kiperwasser-2018-scheduled-multi-task-learning-syntax/)
37. [**Still a Pain in the Neck: Evaluating Text Representations on Lexical Composition**Vered Shwartz, Ido Dagan*2019 · 129 citations*](https://md.research.elamur.ai/free/en/papers/shwartz-2019-still-pain-neck-evaluating-text/)
38. [**Crowdsourcing Question-Answer Meaning Representations**Julian Michael, Gabriel Stanovsky, Luheng He, et al.*2018 · 112 citations*](https://md.research.elamur.ai/free/en/papers/michael-2018-crowdsourcing-question-answer-meaning-representations/)
39. [**Controlled Crowdsourcing for High-Quality QA-SRL Annotation**Paul Roit, Ayal Klein, Daniela Stepanov, et al.*2020 · 84 citations*](https://md.research.elamur.ai/free/en/papers/roit-2020-controlled-crowdsourcing-high-quality-qa/)
40. [**UniMorph 4.0: Universal Morphology**Khuyagbaatar Batsuren, Omer Goldman, Salam Khalifa*2022 · 82 citations*](https://md.research.elamur.ai/free/en/papers/batsuren-2022-unimorph-4/)
41. [**QADiscourse - Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines**Valentina Pyatkin, Ayal Klein, Reut Tsarfaty, et al.*2020 · 77 citations*](https://md.research.elamur.ai/free/en/papers/pyatkin-2020-qadiscourse-discourse-relations-as-qa/)
42. [**Generating Entailment Rules from FrameNet**Roni Ben Aharon, Idan Szpektor, Ido Dagan*2010 · 71 citations*](https://md.research.elamur.ai/free/en/papers/aharon-2010-generating-entailment-rules-framenet/)
43. [**Restoration of Fragmentary Babylonian Texts Using Recurrent Neural Networks**Ethan Fetaya, Yonatan Lifshitz, Elad Aaron, et al.*2020 · 65 citations*](https://md.research.elamur.ai/free/en/papers/fetaya-2020-restoration-fragmentary-babylonian-texts-using/)
44. [**Cross-document Coreference Resolution over Predicted Mentions**Arie Cattan, Alon Eirew, Gabriel Stanovsky, et al.*2021 · 62 citations*](https://md.research.elamur.ai/free/en/papers/cattan-2021-cross-document-coreference-resolution-over/)
45. [**Understanding Transformer Memorization Recall Through Idioms**Adi Haviv, Ido Cohen, Jacob Gidron, et al.*2023 · 62 citations*](https://md.research.elamur.ai/free/en/papers/haviv-2023-understanding-transformer-memorization-recall-through/)
46. [**AlephBERT: Language Model Pre-training and Evaluation from Sub-Word to Sentence Level**Amit Seker, Elron Bandel, Dan Bareket, et al.*2022 · 57 citations*](https://md.research.elamur.ai/free/en/papers/seker-2022-alephbert-language-model-pre-training/)
47. [**A Non-Monotonic Arc-Eager Transition System for Dependency Parsing**Matthew Honnibal, Yoav Goldberg, Mark Johnson*2013 · 55 citations*](https://md.research.elamur.ai/free/en/papers/honnibal-2013-non-monotonic-arc-eager-transition/)
48. [**LingMess: Linguistically Informed Multi Expert Scorers for Coreference Resolution**Shon Otmazgin, Arie Cattan, Yoav Goldberg*2023 · 54 citations*](https://md.research.elamur.ai/free/en/papers/otmazgin-2023-lingmess-linguistically-informed-multi-expert/)
49. [**WEC: Deriving a Large-scale Cross-document Event Coreference dataset from Wikipedia**Alon Eirew, Arie Cattan, Ido Dagan*2021 · 47 citations*](https://md.research.elamur.ai/free/en/papers/eirew-2021-wec-deriving-large-scale-cross/)
50. [**Paraphrasing vs Coreferring: Two Sides of the Same Coin**Yehudit Meged, Avi Caciularu, Vered Shwartz, et al.*2020 · 47 citations*](https://md.research.elamur.ai/free/en/papers/meged-2020-paraphrasing-vs-coreferring-two-sides/)
51. [**Choosing an Optimal Architecture for Segmentation and POS-Tagging of Modern Hebrew**Roy Bar-Haim, Khalil Sima'an, Yoad Winter*2005 · 46 citations*](https://md.research.elamur.ai/free/en/papers/haim-2005-choosing-optimal-architecture-segmentation-pos/)
52. [**Unsupervised Decomposition of a Document into Authorial Components**Moshe Koppel, Navot Akiva, Idan Dershowitz, et al.*2011 · 46 citations*](https://md.research.elamur.ai/free/en/papers/koppel-2011-unsupervised-decomposition-document-into-authorial/)
53. [**F-coref: Fast, Accurate and Easy to Use Coreference Resolution**Shon Otmazgin, Arie Cattan, Yoav Goldberg*2022 · 45 citations*](https://md.research.elamur.ai/free/en/papers/otmazgin-2022-f-coref-fast-accurate-easy/)
54. [**QANom: Question-Answer driven SRL for Nominalizations**Ayal Klein, Jonathan Mamou, Valentina Pyatkin, et al.*2020 · 40 citations*](https://md.research.elamur.ai/free/en/papers/klein-2020-qanom-question-answer-driven-srl/)
55. [**Semantic Inference at the Lexical-Syntactic Level for Textual Entailment Recognition**Roy Bar-Haim, Ido Dagan, Iddo Greental, et al.*2007 · 39 citations*](https://md.research.elamur.ai/free/en/papers/haim-2007-semantic-inference-lexical-syntactic-level/)
56. [**Findings of the Second WMT Shared Task on Sign Language Translation (WMT-SLT23)**Mathias Müller, Malihe Alikhani, Eleftherios Avramidis, et al.*2023 · 39 citations*](https://md.research.elamur.ai/free/en/papers/muller-2023-findings-second-wmt-shared-task/)
57. [**Neural Modeling for Named Entities and Morphology (NEMO2)**Dan Bareket, Reut Tsarfaty*2021 · 32 citations*](https://md.research.elamur.ai/free/en/papers/bareket-2021-neural-modeling-named-entities-morphology/)
58. [**Realistic Evaluation Principles for Cross-document Coreference Resolution**Arie Cattan, Alon Eirew, Gabriel Stanovsky, et al.*2021 · 31 citations*](https://md.research.elamur.ai/free/en/papers/cattan-2021-realistic-evaluation-principles-cross-document/)
59. [**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.*2022 · 28 citations*](https://md.research.elamur.ai/free/en/papers/gueta-2022-large-pre-trained-models-extra/)
60. [**Nakdan: Professional Hebrew Diacritizer**Avi Shmidman, Shaltiel Shmidman, Moshe Koppel, et al.*2020 · 23 citations*](https://md.research.elamur.ai/free/en/papers/shmidman-2020-nakdan-professional-hebrew-diacritizer/)
61. [**The Noun אִישׁ (ʾîš) in Biblical Hebrew: A Term of Affiliation**David E. S. Stein*2008 · 23 citations*](https://md.research.elamur.ai/free/en/papers/stein-2008-noun-biblical-hebrew-term-affiliation/)
62. [**DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew**Shaltiel Shmidman, Avi Shmidman, Moshe Koppel*2023 · 22 citations*](https://md.research.elamur.ai/free/en/papers/shmidman-2023-dictabert-state-art-bert-suite/)
63. [**Large Scale Substitution-based Word Sense Induction**Matan Eyal, Shoval Sadde, Hillel Taub-Tabib, et al.*2022 · 21 citations*](https://md.research.elamur.ai/free/en/papers/eyal-2022-substitution-wsi/)
64. [**The Possible, the Plausible, and the Desirable: Event-Based Modality Detection for Language Processing**Valentina Pyatkin, Shoval Sadde, Aynat Rubinstein, et al.*2021 · 21 citations*](https://md.research.elamur.ai/free/en/papers/pyatkin-2021-possible-plausible-desirable-event-based/)
65. [**A Pointer Network Architecture for Joint Morphological Segmentation and Tagging**Amit Seker, Reut Tsarfaty*2020 · 21 citations*](https://md.research.elamur.ai/free/en/papers/seker-2020-pointer-network-architecture-joint-morphological/)
66. [**pyBART: Evidence-based Syntactic Transformations for IE**Aryeh Tiktinsky, Yoav Goldberg, Reut Tsarfaty*2020 · 20 citations*](https://md.research.elamur.ai/free/en/papers/tiktinsky-2020-pybart-evidence-based-syntactic-transformations/)
67. [**Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Design**Valentina Pyatkin, Frances Yung, Merel C. J. Scholman, et al.*2023 · 19 citations*](https://md.research.elamur.ai/free/en/papers/pyatkin-2023-design-choices-crowdsourcing-implicit-discourse/)
68. [**Adapting LLMs to Hebrew: Unveiling DictaLM 2.0 with Enhanced Vocabulary and Instruction Capabilities**Shaltiel Shmidman, Avi Shmidman, Amir DN Cohen, et al.*2024 · 15 citations*](https://md.research.elamur.ai/free/en/papers/shmidman-2024-adapting-llms-hebrew-unveiling-dictalm/)
69. [**Cross-document Event Coreference Search: Task, Dataset and Modeling**Alon Eirew, Avi Caciularu, Ido Dagan*2022 · 15 citations*](https://md.research.elamur.ai/free/en/papers/eirew-2022-cross-document-event-coreference-search/)
70. [**HeQ: a Large and Diverse Hebrew Reading Comprehension Benchmark**Amir DN Cohen, Hilla Merhav, Yoav Goldberg, et al.*2023 · 13 citations*](https://md.research.elamur.ai/free/en/papers/cohen-2023-heq-large-diverse-hebrew-reading/)
71. [**Identification of Parallel Passages Across a Large Hebrew/Aramaic Corpus**Avi Shmidman, Moshe Koppel, Ely Porat*2016 · 13 citations*](https://md.research.elamur.ai/free/en/papers/shmidman-2016-identification-parallel-passages-across-large/)
72. [**Introducing BEREL: BERT Embeddings for Rabbinic-Encoded Language**Avi Shmidman, Joshua Guedalia, Shaltiel Shmidman, et al.*2022 · 13 citations*](https://md.research.elamur.ai/free/en/papers/shmidman-2022-introducing-berel-bert-embeddings-rabbinic/)
73. [**Toward a Period-Specific Optimized Neural Network for OCR Error Correction of Historical Hebrew Texts**Omri Suissa, Maayan Zhitomirsky-Geffet, Avshalom Elmalech*2023 · 13 citations*](https://md.research.elamur.ai/free/en/papers/suissa-2023-toward-period-specific-optimized-neural/)
74. [**Improving a Strong Neural Parser with Conjunction-Specific Features**Jessica Ficler, Yoav Goldberg*2017 · 9 citations*](https://md.research.elamur.ai/free/en/papers/ficler-2017-improving-strong-neural-parser-conjunction/)
75. [**MRL Parsing Without Tears: The Case of Hebrew**Shaltiel Shmidman, Avi Shmidman, Moshe Koppel, et al.*2024 · 8 citations*](https://md.research.elamur.ai/free/en/papers/shmidman-2024-mrl-parsing-without-tears-case/)
76. [**A Truly Joint Neural Architecture for Segmentation and Parsing**Danit Yshaayahu Levi, Reut Tsarfaty*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/levi-2024-truly-joint-neural-architecture-segmentation/)
77. [**HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew**Tzuf Paz-Argaman, Itai Mondshine, Asaf Achi Mordechai, et al.*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/argaman-2024-hesum-novel-dataset-abstractive-text/)
78. [**Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew**Eylon Gueta, Omer Goldman, Reut Tsarfaty*2023 · 7 citations*](https://md.research.elamur.ai/free/en/papers/gueta-2023-explicit-morphological-knowledge-improves-pre/)
79. [**A Novel Challenge Set for Hebrew Morphological Disambiguation and Diacritics Restoration**Avi Shmidman, Joshua Guedalia, Shaltiel Shmidman, et al.*2020 · 6 citations*](https://md.research.elamur.ai/free/en/papers/shmidman-2020-novel-challenge-set-hebrew-morphological/)
80. [**A Lexical Resource of Hebrew Verb-Noun Multi-Word Expressions**Chaya Liebeskind, Yaakov HaCohen-Kerner*2016 · 6 citations*](https://md.research.elamur.ai/free/en/papers/liebeskind-2016-lexical-resource-hebrew-verb-noun/)
81. [**Do Pretrained Contextual Language Models Distinguish between Hebrew Homograph Analyses?**Avi Shmidman, Cheyn Shmuel Shmidman, Dan Bareket, et al.*2023 · 5 citations*](https://md.research.elamur.ai/free/en/papers/shmidman-2023-do-pretrained-contextual-language-models/)
82. [**HeGeL: A Novel Dataset for Geo-Location from Hebrew Text**Tzuf Paz-Argaman, Tal Bauman, Itai Mondshine, et al.*2023 · 4 citations*](https://md.research.elamur.ai/free/en/papers/argaman-2023-hegel-novel-dataset-geo-location/)
83. [**Automated Extraction of Sentencing Decisions from Court Cases in the Hebrew Language**Mohr Wenger, Tom Kalir, Noga Berger, et al.*2021 · 3 citations*](https://md.research.elamur.ai/free/en/papers/wenger-2021-automated-extraction-sentencing-decisions-court/)
84. [**Optimizing the Neural Network Training for OCR Error Correction of Historical Hebrew Texts**Omri Suissa, Avshalom Elmalech, Maayan Zhitomirsky-Geffet*2023 · 3 citations*](https://md.research.elamur.ai/free/en/papers/suissa-2023-optimizing-neural-network-training-ocr/)
85. [**Approximation derived from a scalar exclusive particle associating with covert focus: The case of Hebrew be-sax ha-kol**Dina Orenstein, Yael Greenberg*2021 · 3 citations*](https://md.research.elamur.ai/free/en/papers/orenstein-2021-approximation-derived-scalar-exclusive-particle/)
86. [**Semantically Motivated Hebrew Verb-Noun Multi-Word Expressions Identification**Chaya Liebeskind, Yaakov HaCohen-Kerner*2016 · 2 citations*](https://md.research.elamur.ai/free/en/papers/liebeskind-2016-semantically-motivated-hebrew-verb-noun/)
87. [**Automatic Text Segmentation of Ancient and Historic Hebrew**Elisha Rosensweig, Benjamin Resnick, Hillel Gershuni, et al.*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/rosensweig-2025-automatic-text-segmentation-ancient-historic/)
88. [**Dicta-LM 3.0: Advancing The Frontier of Hebrew Sovereign LLMs**Shaltiel Shmidman, Avi Shmidman, Amir DN Cohen, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/shmidman-2026-dicta-lm-3-0-advancing/)
89. [**Automatic Thesaurus Construction for Modern Hebrew**Chaya Liebeskind, Ido Dagan, Jonathan Schler*2018 · 2 citations*](https://md.research.elamur.ai/free/en/papers/liebeskind-2018-automatic-thesaurus-construction-modern-hebrew/)
90. [**Restoring Missing Spaces in Scraped Hebrew Social Media**Avi Shmidman, Shaltiel Shmidman*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/shmidman-2025-restoring-missing-spaces-scraped-hebrew/)
91. [**What Is Heard in the Mountains: Paul Celan’s Gespräch im Gebirg in the Light of its Hebrew Translation**Michal Ben‑Horin*2021 · 1 citation*](https://md.research.elamur.ai/free/en/papers/horin-2021-heard-mountains-paul-celans-gesprach/)
92. [**Introducing DictaLM — A Large Generative Language Model for Modern Hebrew**Shaltiel Shmidman, Avi Shmidman, Amir David Nissan Cohen, et al.*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/shmidman-2023-introducing-dictalm-large-generative-language/)
93. [**The Book of Isaiah: Morphological Clustering and Disputed Authorship**Asa Kasher*1969*](https://md.research.elamur.ai/free/en/papers/kasher-1969-book-isaiah-morphological-clustering-disputed/)
94. [**Human-AI Annotation Error Auditing for Hebrew Diacritization with Frontier LLMs**Hillel Gershuni, Avi Shmidman*2026*](https://md.research.elamur.ai/free/en/papers/gershuni-2026-human-ai-annotation-error-auditing/)
95. [**Domain-Aware Error Correction for Citation NER in Medieval Hebrew Responsa**Shmuel LIebeskind, Maayan Zhitomirsky-Geffet, Binyamin Katzoff, et al.*2026*](https://md.research.elamur.ai/free/en/papers/liebeskind-2026-domain-aware-error-correction-citation/)
96. [**Modeling the Dalet Clitic in Historical Hebrew Texts: A New Prefix-Segmented BERT Model and Stylistic Analysis**Rachel Tal, Cheyn Shmuel Shmidman, Avi Shmidman*2026*](https://md.research.elamur.ai/free/en/papers/tal-2026-modeling-dalet-clitic-historical-hebrew/)
97. [**Beyond Word Boundaries: A Hebrew Coreference Benchmark and an Evaluation Protocol for Morphologically Complex Text**Refael Shaked Greenfeld, Reut Tsarfaty*2026*](https://md.research.elamur.ai/free/en/papers/greenfeld-2026-beyond-word-boundaries-hebrew-coreference/)
98. [**The Truth, The Whole Truth, and Nothing but the Truth: A New Benchmark Dataset for Hebrew Text Credibility Assessment**Ben Hagag, Reut Tsarfaty*2023*](https://md.research.elamur.ai/free/en/papers/hagag-2023-truth-whole-truth-nothing-but/)
99. [**Diachronic Study of the Hebrew Bible: A Field in Crisis**Joshua Berman*2014*](https://md.research.elamur.ai/free/en/papers/berman-2014-diachronic-study-hebrew-bible-field/)
100. [**HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew**Itai Mondshine, Tzuf Paz-Argaman, Asaf Achi Mordechai, et al.*2024*](https://md.research.elamur.ai/free/en/papers/mondshine-2024-hesum-novel-dataset-abstractive-text/)

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