---
title: "Who cites Cynthia D Rudin — 509 papers of our library"
description: "509 papers of the Elamur Research library cite the works of Cynthia D Rudin, found in their bibliographies; the most cited first."
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---
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# Who cites Cynthia D Rudin

1,051 citations of their works from 509 papers of our library (of the 149,439 whose bibliographies we read) · 92 with a page here, the most cited first · [← Cynthia D Rudin](https://md.research.elamur.ai/free/en/authors/cynthia-d-rudin/)

1. **[Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead](https://md.research.elamur.ai/free/en/papers/rudin-2018-stop-explaining-black-box/) [Nature Machine Intelligence](https://md.research.elamur.ai/free/en/venues/nature-machine-intelligence/)**Cynthia Rudin*2018 · 10,460 citations*
2. [**Towards A Rigorous Science of Interpretable Machine Learning arXiv:1702.08608**Finale Doshi-Velez, Been Kim*2017 · 3,226 citations*](https://md.research.elamur.ai/free/en/papers/doshi-velez-2017-towards-rigorous-science-interpretable-machine/)
3. [**On the Opportunities and Risks of Foundation Models arXiv:2108.07258**Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.*2021 · 3,160 citations*](https://md.research.elamur.ai/free/en/papers/bommasani-2021-opportunities-risks-foundation-models/)
4. **[Attention is not not Explanation](https://md.research.elamur.ai/free/en/papers/wiegreffe-2019-attention-is-not-not-explanation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sarah Wiegreffe, Yuval Pinter*2019 · 1,208 citations*
5. [**"Why Should I Trust You?": Explaining the Predictions of Any Classifier arXiv:1602.04938**Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin*2016 · 1,205 citations*](https://md.research.elamur.ai/free/en/papers/ribeiro-2016-why-should-i-trust-explaining/)
6. [**Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges arXiv:2103.11251 · Statistics Surveys, 2021**Cynthia Rudin; Chaofan Chen; Zhi Chen; Haiyang Huang; Lesia Semenova;, Chudi Zhong*2021 · 974 citations*](https://md.research.elamur.ai/free/en/papers/rudin-2021-interpretable-machine-learning-fundamental/)
7. **[Towards Faithfully Interpretable NLP Systems: How Should We Define and Evaluate Faithfulness?](https://md.research.elamur.ai/free/en/papers/jacovi-2020-faithfully-interpretable-nlp-systems-how/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Alon Jacovi, Yoav Goldberg*2020 · 767 citations*
8. **[Cross-lingual Name Tagging and Linking for 282 Languages](https://md.research.elamur.ai/free/en/papers/pan-2017-cross-lingual-name-tagging-linking/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaoman Pan, Boliang Zhang, Jonathan May, et al.*2017 · 670 citations*
9. **[Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting](https://md.research.elamur.ai/free/en/papers/turpin-2023-language-models-don-t-always/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Miles Turpin, Julian Michael, Ethan Perez, et al.*2023 · 586 citations*
10. **[Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?](https://md.research.elamur.ai/free/en/papers/hase-2020-evaluating-explainable-ai-which-algorithmic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Peter Hase, Mohit Bansal*2020 · 318 citations*
11. **[Challenges and frontiers in abusive content detection](https://md.research.elamur.ai/free/en/papers/vidgen-2019-challenges-frontiers-abusive-content-detection/) [Workshop on Abusive Language Online](https://md.research.elamur.ai/free/en/venues/workshop-on-abusive-language-online/)**Bertie Vidgen, Alex Harris, Dong Nguyen, et al.*2019 · 309 citations*
12. **[Predictability and Surprise in Large Generative Models](https://md.research.elamur.ai/free/en/papers/ganguli-2022-predictability-surprise-large-generative-models/) [ACM Conference on Fairness, Accountability, and Transparency (FAccT)](https://md.research.elamur.ai/free/en/venues/acm-conference-on-fairness-accountability-and-transparency-facct/)**Deep Ganguli, Danny Hernandez, Liane Lovitt, et al.*2022 · 268 citations*
13. [**Measuring Faithfulness in Chain-of-Thought Reasoning arXiv:2307.13702**Tamera Lanham, Anna Chen, Ansh Radhakrishnan, et al.*2023 · 262 citations*](https://md.research.elamur.ai/free/en/papers/lanham-2023-measuring-faithfulness-chain-thought-reasoning/)
14. **[Learning to Faithfully Rationalize by Construction](https://md.research.elamur.ai/free/en/papers/jain-2020-learning-faithfully-rationalize-construction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sarthak Jain, Sarah Wiegreffe, Yuval Pinter, et al.*2020 · 225 citations*
15. **[Morphological Analysis and Disambiguation for Dialectal Arabic](https://md.research.elamur.ai/free/en/papers/habash-2013-morphological-analysis-disambiguation-dialectal-arabic/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Nizar Habash, Ryan Roth, Owen Rambow, et al.*2013 · 192 citations*
16. [**AI Alignment: A Comprehensive Survey arXiv:2310.19852**Jiaming Ji, Tianyi Qiu, Boyuan Chen, et al.*2023 · 173 citations*](https://md.research.elamur.ai/free/en/papers/ji-2023-ai-alignment-comprehensive-survey/)
17. **[A Report on the 2020 VUA and TOEFL Metaphor Detection Shared Task](https://md.research.elamur.ai/free/en/papers/leong-2020-report-2020-vua-toefl-metaphor/) [Workshop on Figurative Language Processing](https://md.research.elamur.ai/free/en/venues/figlang/)**Chee Wee (Ben) Leong, Beata Beigman Klebanov, Chris Hamill, et al.*2020 · 138 citations*
18. **[Dialectal to Standard Arabic Paraphrasing to Improve Arabic-English Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/salloum-2011-dialectal-standard-arabic-paraphrasing-improve/) [Workshop on Algorithms and Resources for Modelling of Dialects and Language Varieties](https://md.research.elamur.ai/free/en/venues/workshop-on-algorithms-and-resources-for-modelling-of-dialects-and-language/)**Wael Salloum, Nizar Habash*2011 · 127 citations*
19. **[Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?](https://md.research.elamur.ai/free/en/papers/hase-2020-leakage-adjusted-simulatability-can-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Peter Hase, Shiyue Zhang, Harry Xie, et al.*2020 · 126 citations*
20. **[Aligning Faithful Interpretations with their Social Attribution](https://md.research.elamur.ai/free/en/papers/jacovi-2021-aligning-faithful-interpretations-their-social/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Alon Jacovi, Yoav Goldberg*2021 · 123 citations*
21. [**Mechanistic Interpretability for AI Safety — A Review arXiv:2404.14082**Leonard Bereska, Efstratios Gavves*2024 · 108 citations*](https://md.research.elamur.ai/free/en/papers/bereska-2024-mechanistic-interpretability-ai-safety-review/)
22. **[PRover: Proof Generation for Interpretable Reasoning over Rules](https://md.research.elamur.ai/free/en/papers/saha-2020-prover-proof-generation-interpretable-reasoning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Swarnadeep Saha, Sayan Ghosh, Shashank Srivastava, et al.*2020 · 103 citations*
23. [**Don't Throw Those Morphological Analyzers Away Just Yet: Neural Morphological Disambiguation for Arabic**Nasser Zalmout, Nizar Habash*2017 · 97 citations*](https://md.research.elamur.ai/free/en/papers/zalmout-2017-don-t-throw-those-morphological/)
24. **[A Report on the 2020 Sarcasm Detection Shared Task](https://md.research.elamur.ai/free/en/papers/ghosh-2020-report-2020-sarcasm-detection-shared/) [Workshop on Figurative Language Processing](https://md.research.elamur.ai/free/en/venues/figlang/)**Debanjan Ghosh, Avijit Vajpayee, Smaranda Muresan*2020 · 92 citations*
25. [**Rethinking Interpretability in the Era of Large Language Models arXiv:2402.01761**Chandan Singh, Jeevana Priya Inala, Michel Galley, et al.*2024 · 87 citations*](https://md.research.elamur.ai/free/en/papers/singh-2024-rethinking-interpretability-era-large-language/)
26. **[AraSenTi: Large-Scale Twitter-Specific Arabic Sentiment Lexicons](https://md.research.elamur.ai/free/en/papers/twairesh-2016-arasenti-large-scale-twitter-specific/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Nora Al-Twairesh, Hend Al-Khalifa, Abdulmalik Al-Salman*2016 · 77 citations*
27. [**Localizing Model Behavior with Path Patching arXiv:2304.05969**Nicholas Goldowsky-Dill, Chris MacLeod, Lucas Sato, et al.*2023 · 76 citations*](https://md.research.elamur.ai/free/en/papers/goldowsky-dill-2023-localizing-model-behavior-path-patching/)
28. **[Dialectal Arabic to English Machine Translation: Pivoting through Modern Standard Arabic](https://md.research.elamur.ai/free/en/papers/salloum-2013-dialectal-arabic-english-machine-translation/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Wael Salloum, Nizar Habash*2013 · 68 citations*
29. **[A Pipeline Arabic Named Entity Recognition using a Hybrid Approach](https://md.research.elamur.ai/free/en/papers/oudah-2012-pipeline-arabic-named-entity-recognition/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Mai Oudah, Khaled Shaalan*2012 · 61 citations*
30. **[SHAKKIL: An Automatic Diacritization System for Modern Standard Arabic Texts](https://md.research.elamur.ai/free/en/papers/fashwan-2017-shakkil-automatic-diacritization-system-modern/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Amany Fashwan, Sameh Alansary*2017 · 53 citations*
31. [**Self-Verification Improves Few-Shot Clinical Information Extraction arXiv:2306.00024 · IMLH 2023**Zelalem Gero, Chandan Singh, Hao Cheng, et al.*2023 · 51 citations*](https://md.research.elamur.ai/free/en/papers/gero-2023-self-verification-improves-few-shot/)
32. **[Improved Spelling Error Detection and Correction for Arabic](https://md.research.elamur.ai/free/en/papers/attia-2012-improved-spelling-error-detection-correction/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Mohammed Attia, Pavel Pecina, Younes Samih, et al.*2012 · 51 citations*
33. [**Syntactic Annotation Guidelines for the Quranic Arabic Dependency Treebank**Kais Dukes, Eric Atwell, Abdul-Baquee M. Sharaf*2010 · 48 citations*](https://md.research.elamur.ai/free/en/papers/dukes-2010-syntactic-annotation-guidelines-quranic-arabic/)
34. [**Joint Diacritization, Lemmatization, Normalization, and Fine-Grained Morphological Tagging**Nasser Zalmout, Nizar Habash*2020 · 44 citations*](https://md.research.elamur.ai/free/en/papers/zalmout-2020-joint-diacritization-lemmatization-normalization-fine/)
35. [**An Open-Source Finite State Morphological Transducer for Modern Standard Arabic**Mohammed Attia, Pavel Pecina, Antonio Toral, et al.*2011 · 44 citations*](https://md.research.elamur.ai/free/en/papers/attia-2011-open-source-finite-state-morphological/)
36. [**Noise-Robust Morphological Disambiguation for Dialectal Arabic**Nasser Zalmout, Alexander Erdmann, Nizar Habash*2018 · 43 citations*](https://md.research.elamur.ai/free/en/papers/zalmout-2018-noise-robust-morphological-disambiguation-dialectal/)
37. [**Goal Driven Discovery of Distributional Differences via Language Descriptions arXiv:2302.14233**Ruiqi Zhong, Peter Zhang, Steve Li, et al.*2023 · 42 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2023-goal-driven-discovery-distributional-differences/)
38. **[Recall-Oriented Learning of Named Entities in Arabic Wikipedia](https://md.research.elamur.ai/free/en/papers/mohit-2012-recall-oriented-learning-named-entities/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Behrang Mohit, Nathan Schneider, Rishav Bhowmick, et al.*2012 · 42 citations*
39. **[Sociodemographic Bias in Language Models: A Survey and Forward Path](https://md.research.elamur.ai/free/en/papers/gupta-2023-sociodemographic-bias-language-models-survey/) [Workshop on Gender Bias in Natural Language Processing](https://md.research.elamur.ai/free/en/venues/gebnlp/)**Vipul Gupta, Pranav Narayanan Venkit, Shomir Wilson, et al.*2023 · 40 citations*
40. **[A Pilot Study on Arabic Multi-Genre Corpus Diacritization](https://md.research.elamur.ai/free/en/papers/bouamor-2015-pilot-study-arabic-multi-genre/) [Workshop on Arabic Natural Language Processing](https://md.research.elamur.ai/free/en/venues/workshop-on-arabic-natural-language-processing/)**Houda Bouamor, Wajdi Zaghouani, Mona Diab, et al.*2015 · 30 citations*
41. [**An Accurate Arabic Root-Based Lemmatizer for Information Retrieval Purposes**Tarek El-Shishtawy, Fatma El-Ghannam*2012 · 30 citations*](https://md.research.elamur.ai/free/en/papers/el-shishtawy-2012-accurate-arabic-root-based-lemmatizer/)
42. **[The International Corpus of Arabic: Compilation, Analysis and Evaluation](https://md.research.elamur.ai/free/en/papers/alansary-2014-international-corpus-arabic-compilation-analysis/) [EMNLP Workshop on Arabic Natural Language Processing (ANLP)](https://md.research.elamur.ai/free/en/venues/emnlp-workshop-on-arabic-natural-language-processing-anlp/)**Sameh Alansary, Magdy Nagi*2014 · 28 citations*
43. **[Using Deep Morphology to Improve Automatic Error Detection in Arabic Handwriting Recognition](https://md.research.elamur.ai/free/en/papers/habash-2011-deep-morphology-improve-automatic-error/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Nizar Habash, Ryan Roth*2011 · 26 citations*
44. [**Morphological Analysis and Disambiguation for Gulf Arabic: The Interplay between Resources and Methods**Salam Khalifa, Nasser Zalmout, Nizar Habash*2020 · 25 citations*](https://md.research.elamur.ai/free/en/papers/khalifa-2020-morphological-analysis-disambiguation-gulf-arabic/)
45. **[Semantic Role Labeling Systems for Arabic using Kernel Methods](https://md.research.elamur.ai/free/en/papers/diab-2008-semantic-role-labeling-systems-arabic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mona Diab, Alessandro Moschitti, Daniele Pighin*2008 · 25 citations*
46. **[GWU-HASP: Hybrid Arabic Spelling and Punctuation Corrector](https://md.research.elamur.ai/free/en/papers/attia-2014-gwu-hasp-hybrid-arabic-spelling/) [EMNLP Workshop on Arabic Natural Language Processing (ANLP)](https://md.research.elamur.ai/free/en/venues/emnlp-workshop-on-arabic-natural-language-processing-anlp/)**Mohammed Attia, Mohamed Al-Badrashiny, Mona Diab*2014 · 24 citations*
47. **[Modeling Cross-Cultural Pragmatic Inference with Codenames Duet](https://md.research.elamur.ai/free/en/papers/shaikh-2023-modeling-cross-cultural-pragmatic-inference/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Omar Shaikh, Caleb Ziems, William Held, et al.*2023 · 23 citations*
48. [**A Pointer Network Architecture for Joint Morphological Segmentation and Tagging**Amit Seker, Reut Tsarfaty*2020 · 22 citations*](https://md.research.elamur.ai/free/en/papers/seker-2020-pointer-network-architecture-joint-morphological/)
49. [**Improving Arabic Dependency Parsing with Form-based and Functional Morphological Features**Yuval Marton, Nizar Habash, Owen Rambow*2011 · 21 citations*](https://md.research.elamur.ai/free/en/papers/marton-2011-improving-arabic-dependency-parsing-form/)
50. **[POS-tagging of Tunisian Dialect Using Standard Arabic Resources and Tools](https://md.research.elamur.ai/free/en/papers/hamdi-2015-pos-tagging-tunisian-dialect-standard/) [Workshop on Arabic Natural Language Processing](https://md.research.elamur.ai/free/en/venues/workshop-on-arabic-natural-language-processing/)**Ahmed Hamdi, Alexis Nasr, Nizar Habash, et al.*2015 · 20 citations*
51. **[RECKONING: Reasoning through Dynamic Knowledge Encoding](https://md.research.elamur.ai/free/en/papers/chen-2023-reckoning-reasoning-through-dynamic-knowledge/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Zeming Chen, Gail Weiss, Eric Mitchell, et al.*2023 · 19 citations*
52. [**Building an Arabic Multiword Expressions Repository Proceedings of the ACL 2012 Joint Workshop on Statistical Parsing and Semantic Processing of Morphologically Rich Languages**Abdelati Hawwari, Kfir Bar, Mona Diab*2012 · 17 citations*](https://md.research.elamur.ai/free/en/papers/hawwari-2012-building-arabic-multiword-expressions-repository/)
53. [**Simultaneous Tokenization and Part-Of-Speech Tagging for Arabic without a Morphological Analyzer**Seth Kulick*2010 · 17 citations*](https://md.research.elamur.ai/free/en/papers/kulick-2010-simultaneous-tokenization-part-speech-tagging/)
54. **[ASMA: A System for Automatic Segmentation and Morpho-Syntactic Disambiguation of Modern Standard Arabic](https://md.research.elamur.ai/free/en/papers/mageed-2013-asma-system-automatic-segmentation-morpho/) [Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/)**Muhammad Abdul-Mageed, Mona Diab, Sandra Kübler*2013 · 13 citations*
55. **[Robust Part-of-speech Tagging of Arabic Text](https://md.research.elamur.ai/free/en/papers/aldarmaki-2015-robust-part-speech-tagging-arabic/) [Workshop on Arabic Natural Language Processing](https://md.research.elamur.ai/free/en/venues/workshop-on-arabic-natural-language-processing/)**Hanan Aldarmaki, Mona Diab*2015 · 11 citations*
56. **[Arabic Diacritics in the Wild: Exploiting Opportunities for Improved Diacritization](https://md.research.elamur.ai/free/en/papers/elgamal-2024-arabic-diacritics-wild-exploiting-opportunities/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Salman Elgamal, Ossama Obeid, Mhd Kabbani, et al.*2024 · 10 citations*
57. **[Supersense Tagging for Arabic: the MT-in-the-Middle Attack](https://md.research.elamur.ai/free/en/papers/schneider-2013-supersense-tagging-arabic-mt-middle/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Nathan Schneider, Behrang Mohit, Chris Dyer, et al.*2013 · 10 citations*
58. **[A New Approach to Lexical Disambiguation of Arabic Text](https://md.research.elamur.ai/free/en/papers/shah-2010-new-approach-lexical-disambiguation-arabic/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Rushin Shah, Paramveer S. Dhillon, Mark Liberman, et al.*2010 · 10 citations*
59. **[The Power of Language Music: Arabic Lemmatization through Patterns](https://md.research.elamur.ai/free/en/papers/attia-2016-power-language-music-arabic-lemmatization/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Mohammed Attia, Ayah Zirikly, Mona Diab*2016 · 8 citations*
60. [**A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context arXiv:2501.06859**Noureldin Zahran, Aya E. Fouda, Radwa J. Hanafy, et al.*2025 · 7 citations*](https://md.research.elamur.ai/free/en/papers/zahran-2025-comprehensive-evaluation-large-language-models/)
61. [**Arabic Diacritization Using Morphologically Informed Character-Level Model**Muhammad Morsy Elmallah, Mahmoud Reda, Kareem Darwish, et al.*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/elmallah-2024-arabic-diacritization-morphologically-informed-character/)
62. **[NULL at SemEval-2022 Task 6: Intended Sarcasm Detection Using Stylistically Fused Contextualized Representation and Deep Learning](https://md.research.elamur.ai/free/en/papers/rahgouy-2022-null-semeval-2022-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Mostafa Rahgouy, Hamed Babaei Giglou, Taher Rahgooy, et al.*2022 · 6 citations*
63. **[Handling Unknown Words in Arabic FST Morphology](https://md.research.elamur.ai/free/en/papers/shaalan-2012-handling-unknown-words-arabic-fst/) [International Workshop on Finite State Methods and Natural Language Processing](https://md.research.elamur.ai/free/en/venues/finite-state-methods-and-natural-language-processing/)**Khaled Shaalan, Mohammed Attia*2012 · 6 citations*
64. **[“When Words Fail, Emojis Prevail”: A Novel Architecture for Generating Sarcastic Sentences With Emoji Using Valence Reversal and Semantic Incongruity](https://md.research.elamur.ai/free/en/papers/kader-2023-when-words-fail-emojis-prevail/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Faria Binte Kader, Nafisa Hossain Nujat, Tasmia Binte Sogir, et al.*2023 · 5 citations*
65. [**Do Diacritics Matter? Evaluating the Impact of Arabic Diacritics on Tokenization and LLM Benchmarks**Go Inoue, Bashar Alhafni, Nizar Habash, et al.*2026 · 4 citations*](https://md.research.elamur.ai/free/en/papers/inoue-2026-do-diacritics-matter-evaluating-impact/)
66. [**Computational Sarcasm Analysis on Social Media: A Systematic Review arXiv:2209.06170**Faria Binte Kader, Nafisa Hossain Nujat, Tasmia Binte Sogir, et al.*2022 · 4 citations*](https://md.research.elamur.ai/free/en/papers/kader-2022-computational-sarcasm-analysis-social-media/)
67. [**Parallel Deep Learning-Driven Sarcasm Detection from Pop Culture Text and English Humor Literature arXiv:2106.05752 · In RAAI 2020. Advances in Intelligent Systems and Computing, vol 1355 (2021)**Sourav Das, Anup Kumar Kolya*2020 · 4 citations*](https://md.research.elamur.ai/free/en/papers/das-2021-parallel-deep-learning-driven-sarcasm/)
68. **[Utilizing Subword Entities in Character-Level Sequence-to-Sequence Lemmatization Models](https://md.research.elamur.ai/free/en/papers/zalmout-2020-utilizing-subword-entities-character-level/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Nasser Zalmout, Nizar Habash*2020 · 4 citations*
69. **[Book Reviews: Introduction to Arabic Natural Language Processing by Nizar Y. Habash](https://md.research.elamur.ai/free/en/papers/zitouni-2011-book-reviews-introduction-arabic-natural/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Imed Zitouni*2011 · 4 citations*
70. [**A Dataset for Metaphor Detection in Early Medieval Hebrew Poetry**Michael Toker, Oren Mishali, Ophir Münz-Manor, et al.*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/toker-2024-dataset-metaphor-detection-early-medieval/)
71. [**Lemmatization as a Classification Task: Results from Arabic across Multiple Genres**Mostafa Saeed, Nizar Habash*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/saeed-2025-lemmatization-as-classification-task-results/)
72. [**The Mechanical Bard: An Interpretable Machine Learning Approach to Shakespearean Sonnet Generation**Edwin Agnew, Michelle Qiu, Lily Zhu, et al.*2023 · 2 citations*](https://md.research.elamur.ai/free/en/papers/agnew-2023-mechanical-bard-interpretable-machine-learning/)
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