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title: "Israel — works, page 2"
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# Works of Israel

307 · page 2 of 4 · the most cited first · [← Israel](https://md.research.elamur.ai/free/en/countries/israel/)

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101. [**SCROLLS: Standardized CompaRison Over Long Language Sequences**Uri Shaham, Elad Segal, Maor Ivgi, et al.*2022 · 162 citations*](https://md.research.elamur.ai/free/en/papers/shaham-2022-scrolls-standardized-comparison-over-long/)
102. [**Will-They-Won't-They: A Very Large Dataset for Stance Detection on Twitter**Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, et al.*2020 · 151 citations*](https://md.research.elamur.ai/free/en/papers/conforti-2020-will-they-won-t-they/)
103. [**Automatic Processing of Large Corpora for the Resolution of Anaphora References**Ido Dagan, Alon Itai*1990 · 144 citations*](https://md.research.elamur.ai/free/en/papers/dagan-1990-automatic-processing-large-corpora-resolution/)
104. [**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/)
105. [**In-Context Learning Creates Task Vectors**Roee Hendel, Mor Geva, Amir Globerson*2023 · 142 citations*](https://md.research.elamur.ai/free/en/papers/hendel-2023-context-learning-creates-task-vectors/)
106. [**On The Evaluation of Machine Translation Systems Trained With Back-Translation**Sergey Edunov, Myle Ott, Marc'Aurelio Ranzato, et al.*2020 · 139 citations*](https://md.research.elamur.ai/free/en/papers/edunov-2020-evaluation-machine-translation-systems-trained/)
107. [**Diverse Demonstrations Improve In-context Compositional Generalization**Itay Levy, Ben Bogin, Jonathan Berant*2023 · 139 citations*](https://md.research.elamur.ai/free/en/papers/levy-2023-diverse-demonstrations-improve-context-compositional/)
108. [**Semantic Structural Evaluation for Text Simplification**Elior Sulem, Omri Abend, Ari Rappoport*2018 · 135 citations*](https://md.research.elamur.ai/free/en/papers/sulem-2018-semantic-structural-evaluation-text-simplification/)
109. [**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/)
110. [**Analyzing Transformers in Embedding Space**Guy Dar, Mor Geva, Ankit Gupta, et al.*2023 · 129 citations*](https://md.research.elamur.ai/free/en/papers/dar-2023-analyzing-transformers-embedding-space/)
111. [**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/)
112. [**ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding**Uri Shaham, Maor Ivgi, Avia Efrat, et al.*2023 · 128 citations*](https://md.research.elamur.ai/free/en/papers/shaham-2023-zeroscrolls-zero-shot-benchmark-long/)
113. [**Edition 1.1 of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions**Carlos Ramisch, Silvio Ricardo Cordeiro, Agata Savary, et al.*2018 · 124 citations*](https://md.research.elamur.ai/free/en/papers/ramisch-2018-edition-1-1-parseme-shared/)
114. [**Simple and Effective Text Simplification Using Semantic and Neural Methods**Elior Sulem, Omri Abend, Ari Rappoport*2018 · 113 citations*](https://md.research.elamur.ai/free/en/papers/sulem-2018-simple-effective-text-simplification-semantic/)
115. [**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/)
116. [**Coreference Resolution without Span Representations**Yuval Kirstain, Ori Ram, Omer Levy*2021 · 109 citations*](https://md.research.elamur.ai/free/en/papers/kirstain-2021-coreference-resolution-without-span-representations/)
117. [**Findings of the WMT 2020 Shared Task on Parallel Corpus Filtering and Alignment**Philipp Koehn, Vishrav Chaudhary, Ahmed El-Kishky, et al.*2020 · 100 citations*](https://md.research.elamur.ai/free/en/papers/koehn-2020-findings-wmt-2020-shared-task/)
118. [**An Unsupervised Morpheme-Based HMM for Hebrew Morphological Disambiguation**Meni Adler, Michael Elhadad*2006 · 99 citations*](https://md.research.elamur.ai/free/en/papers/adler-2006-unsupervised-morpheme-based-hmm-hebrew/)
119. [**Sarcasm SIGN: Interpreting Sarcasm with Sentiment Based Monolingual Machine Translation**Lotem Peled, Roi Reichart*2017 · 94 citations*](https://md.research.elamur.ai/free/en/papers/peled-2017-sarcasm-sign-interpreting-sarcasm-sentiment/)
120. [**A Corpus for Multilingual Document Classification in Eight Languages**Holger Schwenk, Xian Li*2018 · 91 citations*](https://md.research.elamur.ai/free/en/papers/schwenk-2018-corpus-multilingual-document-classification-eight/)
121. [**Missing objects in Hebrew: Argument ellipsis, not VP ellipsis**Idan Landau*2018 · 89 citations*](https://md.research.elamur.ai/free/en/papers/landau-2018-missing-objects-hebrew-argument-ellipsis/)
122. [**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/)
123. [**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/)
124. [**Language Modeling for Morphologically Rich Languages: Character-Aware Modeling for Word-Level Prediction**Daniela Gerz, Ivan Vulić, Edoardo Ponti, et al.*2018 · 82 citations*](https://md.research.elamur.ai/free/en/papers/gerz-2018-language-modeling-morphologically-rich-languages/)
125. [**Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation**Shahar Levy, Koren Lazar, Gabriel Stanovsky*2021 · 82 citations*](https://md.research.elamur.ai/free/en/papers/levy-2021-collecting-large-scale-gender-bias/)
126. [**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/)
127. [**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/)
128. [**HeBERT & HebEMO: a Hebrew BERT Model and a Tool for Polarity Analysis and Emotion Recognition**Avihay Chriqui, Inbal Yahav*2021 · 68 citations*](https://md.research.elamur.ai/free/en/papers/chriqui-2021-hebert-hebemo-hebrew-bert-model/)
129. [**Tokenization Is More Than Compression**Craig W Schmidt, Varshini Reddy, Haoran Zhang, et al.*2024 · 66 citations*](https://md.research.elamur.ai/free/en/papers/schmidt-2024-tokenization-is-more-than-compression/)
130. [**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/)
131. [**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/)
132. [**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/)
133. [**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.*2019 · 60 citations*](https://md.research.elamur.ai/free/en/papers/more-2019-joint-transition-based-models-morpho/)
134. [**HUME: Human UCCA-Based Evaluation of Machine Translation**Alexandra Birch, Omri Abend, Ondřej Bojar, et al.*2016 · 58 citations*](https://md.research.elamur.ai/free/en/papers/birch-2016-hume-human-ucca-based-evaluation/)
135. [**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/)
136. [**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/)
137. [**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/)
138. [**What's Wrong with Hebrew NLP? And How to Make it Right**Reut Tsarfaty, Shoval Sadde, Stav Klein, et al.*2019 · 50 citations*](https://md.research.elamur.ai/free/en/papers/tsarfaty-2019-what-s-wrong-hebrew-nlp/)
139. [**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/)
140. [**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/)
141. [**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/)
142. [**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/)
143. [**Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment**Yonatan Belinkov, Tao Lei, Regina Barzilay, et al.*2014 · 45 citations*](https://md.research.elamur.ai/free/en/papers/belinkov-2014-exploring-compositional-architectures-word-vector/)
144. [**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/)
145. [**Learning Morpho-Lexical Probabilities from an Untagged Corpus with an Application to Hebrew**Moshe Levinger, Uzzi Ornan, Alon Itai*1995 · 43 citations*](https://md.research.elamur.ai/free/en/papers/levinger-1995-learning-morpho-lexical-probabilities-untagged/)
146. [**Representations and Architectures in Neural Sentiment Analysis for Morphologically Rich Languages: A Case Study from Modern Hebrew**Adam Amram, Anat Ben David, Reut Tsarfaty*2018 · 40 citations*](https://md.research.elamur.ai/free/en/papers/amram-2018-representations-architectures-neural-sentiment-analysis/)
147. [**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/)
148. [**A Finite-State Morphological Grammar of Hebrew**Shlomo Yona, Shuly Wintner*2005 · 40 citations*](https://md.research.elamur.ai/free/en/papers/yona-2005-finite-state-morphological-grammar-hebrew/)
149. [**Word Segmentation, Unknown-word Resolution, and Morphological Agreement in a Hebrew Parsing System**Yoav Goldberg, Michael Elhadad*2013 · 39 citations*](https://md.research.elamur.ai/free/en/papers/goldberg-2013-word-segmentation-unknown-word-resolution/)
150. [**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/)
151. [**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/)
152. [**Easy-First Dependency Parsing of Modern Hebrew**Yoav Goldberg, Michael Elhadad*2010 · 38 citations*](https://md.research.elamur.ai/free/en/papers/goldberg-2010-easy-first-dependency-parsing-modern/)
153. [**No case for Case in locality: Case does not help interpretation when intervention blocks A-bar chains**Naama Friedmann, Luigi Rizzi, Adriana Belletti*2017 · 37 citations*](https://md.research.elamur.ai/free/en/papers/friedmann-2017-no-case-case-locality-case/)
154. [**Smoothing a Lexicon-based POS Tagger for Arabic and Hebrew**Saib Manour, Khalil Sima'an, Yoad Winter*2007 · 34 citations*](https://md.research.elamur.ai/free/en/papers/manour-2007-smoothing-lexicon-based-pos-tagger/)
155. [**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/)
156. [**Joint Hebrew Segmentation and Parsing using a PCFGLA Lattice Parser**Yoav Goldberg, Michael Elhadad*2011 · 32 citations*](https://md.research.elamur.ai/free/en/papers/goldberg-2011-joint-hebrew-segmentation-parsing-pcfgla/)
157. [**Morphological Disambiguation of Hebrew: A Case Study in Classifier Combination**Danny Shacham, Shuly Wintner*2007 · 32 citations*](https://md.research.elamur.ai/free/en/papers/shacham-2007-morphological-disambiguation-hebrew-case-study/)
158. [**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/)
159. [**Hebrew Dependency Parsing: Initial Results**Yoav Goldberg, Michael Elhadad*2009 · 31 citations*](https://md.research.elamur.ai/free/en/papers/goldberg-2009-hebrew-dependency-parsing-initial-results/)
160. [**The Hebrew Universal Dependency Treebank: Past, Present and Future**Shoval Sade, Amit Seker, Reut Tsarfaty*2018 · 31 citations*](https://md.research.elamur.ai/free/en/papers/sade-2018-hebrew-universal-dependency-treebank-past/)
161. [**Classifying Syntactic Errors in Learner Language**Leshem Choshen, Dmitry Nikolaev, Yevgeni Berzak, et al.*2020 · 30 citations*](https://md.research.elamur.ai/free/en/papers/choshen-2020-classifying-syntactic-errors-learner-language/)
162. [**Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling Approach**Koren Lazar, Benny Saret, Asaf Yehudai, et al.*2021 · 30 citations*](https://md.research.elamur.ai/free/en/papers/lazar-2021-filling-gaps-ancient-akkadian-texts/)
163. [**Reciprocal expressions and the Maximal Typicality Hypothesis**Eva B. Poortman, Marijn E. Struiksma, Nir Kerem, et al.*2018 · 30 citations*](https://md.research.elamur.ai/free/en/papers/poortman-2018-reciprocal-expressions-maximal-typicality-hypothesis/)
164. [**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/)
165. [**Adposition and Case Supersenses v2.6: Guidelines for English**Nathan Schneider, Jena D. Hwang, Vivek Srikumar, et al.*2017 · 28 citations*](https://md.research.elamur.ai/free/en/papers/schneider-2017-adposition-case-supersenses-v2-6/)
166. [**Identifying Semitic Roots: Machine Learning with Linguistic Constraints**Ezra Daya, Dan Roth, Shuly Wintner*2008 · 25 citations*](https://md.research.elamur.ai/free/en/papers/daya-2008-identifying-semitic-roots-machine-learning/)
167. [**An Overview of SURGE: a Reusable Comprehensive Syntactic Realization Component**Michael Elhadad, Jacques Robin*1996 · 24 citations*](https://md.research.elamur.ai/free/en/papers/elhadad-1996-overview-surge-reusable-comprehensive-syntactic/)
168. [**Learning Hebrew Roots: Machine Learning with Linguistic Constraints**Ezra Daya, Dan Roth, Shuly Wintner*2004 · 23 citations*](https://md.research.elamur.ai/free/en/papers/daya-2004-learning-hebrew-roots-machine-learning/)
169. [**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/)
170. [**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/)
171. [**Word-Based or Morpheme-Based? Annotation Strategies for Modern Hebrew Clitics**Reut Tsarfaty, Yoav Goldberg*2008 · 23 citations*](https://md.research.elamur.ai/free/en/papers/tsarfaty-2008-word-based-or-morpheme-based/)
172. [**STANDER: An Expert-Annotated Dataset for News Stance Detection and Evidence Retrieval**Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, et al.*2020 · 22 citations*](https://md.research.elamur.ai/free/en/papers/conforti-2020-stander-expert-annotated-dataset-news/)
173. [**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/)
174. [**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/)
175. [**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/)
176. [**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/)
177. [**Multi-document multilingual summarization corpus preparation, Part 2: Czech, Hebrew and Spanish**Michael Elhadad, Sabino Miranda-Jiménez, Josef Steinberger, et al.*2013 · 20 citations*](https://md.research.elamur.ai/free/en/papers/elhadad-2013-multi-document-multilingual-summarization-corpus/)
178. [**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/)
179. [**Noun Phrase Chunking in Hebrew: Influence of Lexical and Morphological Features**Yoav Goldberg, Meni Adler, Michael Elhadad*2006 · 19 citations*](https://md.research.elamur.ai/free/en/papers/goldberg-2006-noun-phrase-chunking-hebrew-influence/)
180. [**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/)
181. [**Tagging a Hebrew Corpus: the Case of Participles**Meni Adler, Yael Netzer, Yoav Goldberg, et al.*2008 · 18 citations*](https://md.research.elamur.ai/free/en/papers/adler-2008-tagging-hebrew-corpus-case-participles/)
182. [**Stages rather than ages in the acquisition of movement structures: Data from sentence repetition and 27,696 spontaneous clauses**Naama Friedmann, Julia Reznick*2021 · 18 citations*](https://md.research.elamur.ai/free/en/papers/friedmann-2021-stages-rather-than-ages-acquisition/)
183. [**The Hebrew FrameNet Project**Avi Hayoun, Michael Elhadad*2016 · 17 citations*](https://md.research.elamur.ai/free/en/papers/hayoun-2016-hebrew-framenet-project/)
184. [**A Computational Lexicon of Contemporary Hebrew**Alon Itai, Shuly Wintner, Shlomo Yona*2006 · 17 citations*](https://md.research.elamur.ai/free/en/papers/itai-2006-computational-lexicon-contemporary-hebrew/)
185. [**Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds**Igor Labutov, Bishan Yang, Anusha Prakash, et al.*2018 · 17 citations*](https://md.research.elamur.ai/free/en/papers/labutov-2018-multi-relational-question-answering-narratives/)
186. [**Machine Translation between Hebrew and Arabic: Needs, Challenges and Preliminary Solutions**Reshef Shilon, Nizar Habash, Alon Lavie, et al.*2010 · 17 citations*](https://md.research.elamur.ai/free/en/papers/shilon-2010-machine-translation-between-hebrew-arabic/)
187. [**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/)
188. [**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/)
189. [**SVM Model Tampering and Anchored Learning: A Case Study in Hebrew NP Chunking**Yoav Goldberg, Michael Elhadad*2007 · 14 citations*](https://md.research.elamur.ai/free/en/papers/goldberg-2007-svm-model-tampering-anchored-learning/)
190. [**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/)
191. [**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/)
192. [**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/)
193. [**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/)
194. [**ARRAU: Linguistically-Motivated Annotation of Anaphoric Descriptions**Olga Uryupina, Ron Artstein, Antonella Bristot, et al.*2016 · 13 citations*](https://md.research.elamur.ai/free/en/papers/uryupina-2016-arrau-linguistically-motivated-annotation-anaphoric/)
195. [**ParaShoot: A Hebrew Question Answering Dataset**Omri Keren, Omer Levy*2021 · 12 citations*](https://md.research.elamur.ai/free/en/papers/keren-2021-parashoot-hebrew-question-answering-dataset/)
196. [**Usage patterns in the development of Hebrew grammatical subjects**Elitzur Dattner, Liron Kertes, Racehli Zwilling, et al.*2019 · 10 citations*](https://md.research.elamur.ai/free/en/papers/dattner-2019-usage-patterns-development-hebrew-grammatical/)
197. [**How Much Does Lookahead Matter for Disambiguation? Partial Arabic Diacritization Case Study**Saeed Esmail, Kfir Bar, Nachum Dershowitz*2022 · 10 citations*](https://md.research.elamur.ai/free/en/papers/esmail-2022-how-much-does-lookahead-matter/)
198. [**Transformer-based Hebrew NLP models for Short Answer Scoring in Biology**Abigail Gurin Schleifer, Beata Beigman Klebanov, Moriah Ariely, et al.*2023 · 10 citations*](https://md.research.elamur.ai/free/en/papers/schleifer-2023-transformer-based-hebrew-nlp-models/)
199. [**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/)
200. [**Restoring Hebrew Diacritics Without a Dictionary**Elazar Gershuni, Yuval Pinter*2022 · 9 citations*](https://md.research.elamur.ai/free/en/papers/gershuni-2022-restoring-hebrew-diacritics-without-dictionary/)

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