---
title: "Who cites Gilbert Badaro — 94 papers of our library"
description: "94 papers of the Elamur Research library cite the works of Gilbert Badaro, found in their bibliographies; the most cited first."
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---
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# Who cites Gilbert Badaro

136 citations of their works from 94 papers of our library (of the 149,439 whose bibliographies we read) · 66 with a page here, the most cited first · [← Gilbert Badaro](https://md.research.elamur.ai/free/en/authors/gilbert-badaro/)

1. [**AraBERT: Transformer-based Model for Arabic Language Understanding arXiv:2003.00104**Wissam Antoun, Fady Baly, Hazem Hajj*2020 · 1,304 citations*](https://md.research.elamur.ai/free/en/papers/antoun-2020-arabert-transformer-based-model-arabic/)
2. **[SemEval-2017 Task 4: Sentiment Analysis in Twitter](https://md.research.elamur.ai/free/en/papers/rosenthal-2017-semeval-2017-task-4-sentiment/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Sara Rosenthal, Noura Farra, Preslav Nakov*2017 · 1,163 citations*
3. **[SemEval-2018 Task 1: Affect in Tweets](https://md.research.elamur.ai/free/en/papers/mohammad-2018-semeval-2018-task-1-affect/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Saif Mohammad, Felipe Bravo-Marquez, Mohammad Salameh, et al.*2018 · 1,094 citations*
4. **[CAMeL Tools: An Open Source Python Toolkit for Arabic Natural Language Processing](https://md.research.elamur.ai/free/en/papers/obeid-2020-camel-tools-open-source-python/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ossama Obeid, Nasser Zalmout, Salam Khalifa, et al.*2020 · 290 citations*
5. [**A review of sentiment analysis research in Arabic language arXiv:2005.12240**Oumaima Oueslati; Erik Cambria; Moez Ben HajHmida;, Habib Ounelli*2020 · 241 citations*](https://md.research.elamur.ai/free/en/papers/oueslati-2020-review-sentiment-analysis-research-arabic/)
6. **[Arabic natural language processing: An overview](https://md.research.elamur.ai/free/en/papers/guellil-2019-arabic-natural-language-processing-overview/) [Journal of King Saud University - Computer and Information Sciences](https://md.research.elamur.ai/free/en/venues/journal-of-king-saud-university-computer-and-information-sciences/)**Imane Guellil, Houda Saadane, Faical Azouaou, et al.*2019 · 239 citations*
7. **[A Combined CNN and LSTM Model for Arabic Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/alayba-2018-combined-cnn-lstm-model-arabic/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Abdulaziz M. Alayba; Vasile Palade; Matthew England;, Rahat Iqbal*2018 · 217 citations*
8. **[Neural Arabic Question Answering](https://md.research.elamur.ai/free/en/papers/mozannar-2019-neural-arabic-question-answering/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Hussein Mozannar, Elie Maamary, Karl El Hajal, et al.*2019 · 206 citations*
9. **[Mazajak: An Online Arabic Sentiment Analyser](https://md.research.elamur.ai/free/en/papers/farha-2019-mazajak-online-arabic-sentiment-analyser/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Ibrahim Abu Farha, Walid Magdy*2019 · 197 citations*
10. **[Sentiment after Translation: A Case-Study on Arabic Social Media Posts](https://md.research.elamur.ai/free/en/papers/salameh-2015-sentiment-after-translation-case-study/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Mohammad Salameh, Saif Mohammad, Svetlana Kiritchenko*2015 · 189 citations*
11. **[Deep Learning Models for Sentiment Analysis in Arabic](https://md.research.elamur.ai/free/en/papers/sallab-2015-deep-learning-models-sentiment-analysis/) [Workshop on Arabic Natural Language Processing](https://md.research.elamur.ai/free/en/venues/workshop-on-arabic-natural-language-processing/)**Ahmad Al Sallab, Hazem Hajj, Gilbert Badaro, et al.*2015 · 162 citations*
12. **[From Arabic Sentiment Analysis to Sarcasm Detection: The ArSarcasm Dataset](https://md.research.elamur.ai/free/en/papers/farha-2020-arabic-sentiment-analysis-sarcasm-detection/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Ibrahim Abu Farha, Walid Magdy*2020 · 132 citations*
13. **[Transformers for Tabular Data Representation: A Survey of Models and Applications](https://md.research.elamur.ai/free/en/papers/badaro-2023-transformers-tabular-data-representation-survey/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Gilbert Badaro, Mohammed Saeed, Paolo Papotti*2023 · 104 citations*
14. **[hULMonA: The Universal Language Model in Arabic](https://md.research.elamur.ai/free/en/papers/eljundi-2019-hulmona-universal-language-model-arabic/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Obeida ElJundi, Wissam Antoun, Nour El Droubi, et al.*2019 · 89 citations*
15. **[Sentiment Lexicons for Arabic Social Media](https://md.research.elamur.ai/free/en/papers/mohammad-2016-sentiment-lexicons-arabic-social-media/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Saif Mohammad, Mohammad Salameh, Svetlana Kiritchenko*2016 · 83 citations*
16. **[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*
17. **[EMA at SemEval-2018 Task 1: Emotion Mining for Arabic](https://md.research.elamur.ai/free/en/papers/badaro-2018-ema-semeval-2018-task-1/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Gilbert Badaro, Obeida El Jundi, Alaa Khaddaj, et al.*2018 · 73 citations*
18. **[SLSA: A Sentiment Lexicon for Standard Arabic](https://md.research.elamur.ai/free/en/papers/eskander-2015-slsa-sentiment-lexicon-standard-arabic/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ramy Eskander, Owen Rambow*2015 · 72 citations*
19. **[NileULex: A Phrase and Word Level Sentiment Lexicon for Egyptian and Modern Standard Arabic](https://md.research.elamur.ai/free/en/papers/beltagy-2016-nileulex-phrase-word-level-sentiment/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Samhaa R. El-Beltagy*2016 · 65 citations*
20. [**ArSentD-LEV: A Multi-Topic Corpus for Target-based Sentiment Analysis in Arabic Levantine Tweets arXiv:1906.01830**Ramy Baly, Alaa Khaddaj, Hazem Hajj, et al.*2019 · 61 citations*](https://md.research.elamur.ai/free/en/papers/baly-2019-arsentd-lev-multi-topic-corpus/)
21. [**Improving Sentiment Analysis in Arabic Using Word Representation arXiv:1803.00124 · Proc. 2nd International Workshop on Arabic and Derived Script Analysis and Recognition (ASAR '18), pp. 13-18. IEEE, 2018**Abdulaziz M. Alayba, Vasile Palade, Matthew England, et al.*2018 · 59 citations*](https://md.research.elamur.ai/free/en/papers/alayba-2018-improving-sentiment-analysis-arabic-using/)
22. **[CAT: Credibility Analysis of Arabic Content on Twitter](https://md.research.elamur.ai/free/en/papers/ballouli-2017-cat-credibility-analysis-arabic-content/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Rim El Ballouli, Wassim El-Hajj, Ahmad Ghandour, et al.*2017 · 52 citations*
23. **[EmoWordNet: Automatic Expansion of Emotion Lexicon Using English WordNet](https://md.research.elamur.ai/free/en/papers/badaro-2018-emowordnet-automatic-expansion-emotion-lexicon/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Gilbert Badaro, Hussein Jundi, Hazem Hajj, et al.*2018 · 43 citations*
24. **[Domain Adaptation for Arabic Cross-Domain and Cross-Dialect Sentiment Analysis from Contextualized Word Embedding](https://md.research.elamur.ai/free/en/papers/mekki-2021-domain-adaptation-arabic-cross-domain/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Abdellah El Mekki, Abdelkader El Mahdaouy, Ismail Berrada, et al.*2021 · 41 citations*
25. **[Combining BERT with Static Word Embeddings for Categorizing Social Media](https://md.research.elamur.ai/free/en/papers/alghanmi-2020-combining-bert-static-word-embeddings/) [Workshop on Noisy User-generated Text](https://md.research.elamur.ai/free/en/venues/wnut/)**Israa Alghanmi, Luis Espinosa Anke, Steven Schockaert*2020 · 40 citations*
26. [**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/)
27. [**ASAD: A Twitter-based Benchmark Arabic Sentiment Analysis Dataset arXiv:2011.00578**Basma Alharbi, Hind Alamro, Manal Alshehri, et al.*2020 · 39 citations*](https://md.research.elamur.ai/free/en/papers/alharbi-2020-asad-twitter-based-benchmark-arabic/)
28. **[An Arabic Tweets Sentiment Analysis Dataset (ATSAD) using Distant Supervision and Self Training](https://md.research.elamur.ai/free/en/papers/kwaik-2020-arabic-tweets-sentiment-analysis-dataset/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Kathrein Abu Kwaik, Stergios Chatzikyriakidis, Simon Dobnik, et al.*2020 · 38 citations*
29. **[Empirical evaluation of shallow and deep learning classifiers for Arabic sentiment analysis](https://md.research.elamur.ai/free/en/papers/nassif-2021-empirical-evaluation-shallow-deep-learning/) [ACM Transactions on Asian and Low-Resource Language Information Processing](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-asian-and-low-resource-language-information-processing/)**Ali Bou Nassif, Abdollah Masoud Darya, Ashraf Elnagar*2021 · 34 citations*
30. **[OMAM at SemEval-2017 Task 4: Evaluation of English State-of-the-Art Sentiment Analysis Models for Arabic and a New Topic-based Model](https://md.research.elamur.ai/free/en/papers/baly-2017-omam-semeval-2017-task-4/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Ramy Baly, Gilbert Badaro, Ali Hamdi, et al.*2017 · 33 citations*
31. **[Arabic Corpora for Credibility Analysis](https://md.research.elamur.ai/free/en/papers/zaatari-2016-arabic-corpora-credibility-analysis/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ayman Al Zaatari, Rim El Ballouli, Shady ELbassouni, et al.*2016 · 33 citations*
32. **[A Light Lexicon-based Mobile Application for Sentiment Mining of Arabic Tweets](https://md.research.elamur.ai/free/en/papers/badaro-2015-light-lexicon-based-mobile-application/) [Workshop on Arabic Natural Language Processing](https://md.research.elamur.ai/free/en/venues/workshop-on-arabic-natural-language-processing/)**Gilbert Badaro, Ramy Baly, Rana Akel, et al.*2015 · 32 citations*
33. **[AraNet: A Deep Learning Toolkit for Arabic Social Media](https://md.research.elamur.ai/free/en/papers/mageed-2020-aranet-deep-learning-toolkit-arabic/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Muhammad Abdul-Mageed, Chiyu Zhang, Azadeh Hashemi, et al.*2020 · 25 citations*
34. [**Sentiment analysis for Arabic language: A brief survey of approaches and techniques arXiv:1809.02782**Mo'ath Alrefai, Hossam Faris, Ibrahim Aljarah*2018 · 24 citations*](https://md.research.elamur.ai/free/en/papers/alrefai-2018-sentiment-analysis-arabic-language-brief/)
35. **[Arabic Emoji Sentiment Lexicon (Arab-ESL): A Comparison between Arabic and European Emoji Sentiment Lexicons](https://md.research.elamur.ai/free/en/papers/hakami-2021-arabic-emoji-sentiment-lexicon-arab/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Shatha Ali A. Hakami, Robert Hendley, Phillip Smith*2021 · 18 citations*
36. **[Complementary Strategies for Low Resourced Morphological Modeling](https://md.research.elamur.ai/free/en/papers/erdmann-2018-complementary-strategies-low-resourced-morphological/) [Workshop on Computational Research in Phonetics, Phonology, and Morphology](https://md.research.elamur.ai/free/en/venues/workshop-on-computational-research-in-phonetics-phonology-and-morphology/)**Alexander Erdmann, Nizar Habash*2018 · 18 citations*
37. **[SMARTies: Sentiment Models for Arabic Target entities](https://md.research.elamur.ai/free/en/papers/farra-2017-smarties-sentiment-models-arabic-target/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Noura Farra, Kathy McKeown*2017 · 15 citations*
38. **[SenZi: A Sentiment Analysis Lexicon for the Latinised Arabic (Arabizi)](https://md.research.elamur.ai/free/en/papers/tobaili-2019-senzi-sentiment-analysis-lexicon-latinised/) [Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/)**Taha Tobaili, Miriam Fernandez, Harith Alani, et al.*2019 · 14 citations*
39. **[Syntax-Ignorant N-gram Embeddings for Sentiment Analysis of Arabic Dialects](https://md.research.elamur.ai/free/en/papers/mulki-2019-syntax-ignorant-n-gram-embeddings/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Hala Mulki, Hatem Haddad, Mourad Gridach, et al.*2019 · 13 citations*
40. **[Emoji Sentiment Roles for Sentiment Analysis: A Case Study in Arabic Texts](https://md.research.elamur.ai/free/en/papers/hakami-2022-emoji-sentiment-roles-sentiment-analysis/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Shatha Ali A. Hakami, Robert Hendley, Phillip Smith*2022 · 12 citations*
41. [**SentiALG: Automated Corpus Annotation for Algerian Sentiment Analysis arXiv:1808.05079**Imane Guellil; Ahsan Adeel; Faical Azouaou;, Amir Hussain*2018 · 12 citations*](https://md.research.elamur.ai/free/en/papers/guellil-2018-sentialg-automated-corpus-annotation-algerian/)
42. **[Modern Trends in Arabic Sentiment Analysis: A Survey](https://md.research.elamur.ai/free/en/papers/mulki-2017-modern-trends-arabic-sentiment-analysis/) [Traitement Automatique des Langues](https://md.research.elamur.ai/free/en/venues/tal/)**Hala Mulki, Hatem Haddad, Ismail Babaoğlu*2017 · 12 citations*
43. **[OMAM at SemEval-2017 Task 4: English Sentiment Analysis with Conditional Random Fields](https://md.research.elamur.ai/free/en/papers/onyibe-2017-omam-semeval-2017-task-4/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Chukwuyem Onyibe, Nizar Habash*2017 · 12 citations*
44. **[RoT: Enhancing Table Reasoning with Iterative Row-Wise Traversals](https://md.research.elamur.ai/free/en/papers/zhang-2025-rot-enhancing-table-reasoning-iterative/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xuanliang Zhang, Dingzirui Wang, Keyan Xu, et al.*2025 · 10 citations*
45. **[Improved Generalization of Arabic Text Classifiers](https://md.research.elamur.ai/free/en/papers/khaddaj-2019-improved-generalization-arabic-text-classifiers/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Alaa Khaddaj, Hazem Hajj, Wassim El-Hajj*2019 · 10 citations*
46. **[A Comprehensive Survey of Contemporary Arabic Sentiment Analysis: Methods, Challenges, and Future Directions](https://md.research.elamur.ai/free/en/papers/shi-2025-comprehensive-survey-contemporary-arabic-sentiment/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhiqiang Shi, Ruchit Agrawal*2025 · 9 citations*
47. **[TArC: Tunisian Arabish Corpus, First complete release](https://md.research.elamur.ai/free/en/papers/gugliotta-2022-tarc-tunisian-arabish-corpus-first/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Elisa Gugliotta, Marco Dinarelli*2022 · 8 citations*
48. **[A Benchmark Study of Contrastive Learning for Arabic Social Meaning](https://md.research.elamur.ai/free/en/papers/khondaker-2022-benchmark-study-contrastive-learning-arabic/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Md Tawkat Islam Khondaker, El Moatez Billah Nagoudi, AbdelRahim Elmadany, et al.*2022 · 7 citations*
49. [**Arabic Opinion Mining Using a Hybrid Recommender System Approach arXiv:2009.07397**Fouzi Harrag, Abdulmalik Salman Al-Salman, Alaa Alquahtani*2020 · 7 citations*](https://md.research.elamur.ai/free/en/papers/harrag-2020-arabic-opinion-mining-using-hybrid/)
50. **[Combining Context-Free and Contextualized Representations for Arabic Sarcasm Detection and Sentiment Identification](https://md.research.elamur.ai/free/en/papers/hengle-2021-combining-context-free-contextualized-representations/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Amey Hengle, Atharva Kshirsagar, Shaily Desai, et al.*2021 · 6 citations*
51. **[Can Modern Standard Arabic Approaches be used for Arabic Dialects? Sentiment Analysis as a Case Study](https://md.research.elamur.ai/free/en/papers/kwaik-2019-can-modern-standard-arabic-approaches/) [Workshop on Arabic Corpus Linguistics](https://md.research.elamur.ai/free/en/venues/wacl/)**Kathrein Abu Kwaik, Stergios Chatzikyriakidis, Simon Dobnik*2019 · 6 citations*
52. [**Improving Arabic Multi-Label Emotion Classification using Stacked Embeddings and Hybrid Loss Function arXiv:2410.03979**Muhammad Azeem Aslam, Wang Jun, Nisar Ahmed, et al.*2024 · 5 citations*](https://md.research.elamur.ai/free/en/papers/aslam-2024-improving-arabic-multi-label-emotion/)
53. [**Arabic Sentiment Analysis with Noisy Deep Explainable Model arXiv:2309.13731 · NLPIR 2023: 2023 7th International Conference on Natural Language Processing and Information Retrieval, Seoul, Republic of Korea, December 2023**Md. Atabuzzaman, Md Shajalal, Maksuda Bilkis Baby, et al.*2023 · 5 citations*](https://md.research.elamur.ai/free/en/papers/atabuzzaman-2023-arabic-sentiment-analysis-noisy-deep/)
54. **[Multilingual and Multilabel Emotion Recognition using Virtual Adversarial Training](https://md.research.elamur.ai/free/en/papers/gupta-2021-multilingual-multilabel-emotion-recognition-virtual/) [Workshop on Multilingual Representation Learning](https://md.research.elamur.ai/free/en/venues/mrl/)**Vikram Gupta*2021 · 5 citations*
55. **[Toward Qualitative Evaluation of Embeddings for Arabic Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/barhoumi-2020-qualitative-evaluation-embeddings-arabic-sentiment/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Amira Barhoumi, Nathalie Camelin, Chafik Aloulou, et al.*2020 · 5 citations*
56. **[Sentiment Analysis on Arabic Dialects: A Multi-Dialect Benchmark](https://md.research.elamur.ai/free/en/papers/nwesri-2025-sentiment-analysis-arabic-dialects-multi/) [Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/)**Abdusalam F. Ahmad Nwesri, Nabila Almabrouk S. Shinbir, Amani Bahlul Sharif*2025 · 4 citations*
57. **[SentiArabic: A Sentiment Analyzer for Standard Arabic](https://md.research.elamur.ai/free/en/papers/eskander-2018-sentiarabic-sentiment-analyzer-standard-arabic/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ramy Eskander*2018 · 4 citations*
58. **[IUNADI at NADI 2023 shared task: Country-level Arabic Dialect Classification in Tweets for the Shared Task NADI 2023](https://md.research.elamur.ai/free/en/papers/hatekar-2023-iunadi-nadi-2023-shared-task/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Yash A. Hatekar, Muhammad S. Abdo*2023 · 3 citations*
59. **[A Context-free Arabic Emoji Sentiment Lexicon (CF-Arab-ESL)](https://md.research.elamur.ai/free/en/papers/hakami-2022-context-free-arabic-emoji-sentiment/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Shatha Ali A. Hakami, Robert Hendley, Phillip Smith*2022 · 2 citations*
60. **[CRAFT: Training-Free Cascaded Retrieval for Tabular QA](https://md.research.elamur.ai/free/en/papers/singh-2026-craft-training-free-cascaded-retrieval/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Adarsh Singh, Kushal Raj Bhandari, Jianxi Gao, et al.*2026 · 1 citation*
61. **[Supervised Machine Learning based Amharic Text Complexity Classification Using Automatic Annotator Tool](https://md.research.elamur.ai/free/en/papers/nigusie-2025-supervised-machine-learning-based-amharic/) [Workshop on African Natural Language Processing](https://md.research.elamur.ai/free/en/venues/africanlp/)**Gebregziabihier Nigusie*2025 · 1 citation*
62. **[A Corpus-Based Investigation of Contemporary Arabic Dialects Using the SADA Corpus](https://md.research.elamur.ai/free/en/papers/alfattni-2026-corpus-based-investigation-contemporary-arabic/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Ghada Alfattni*2026*
63. **[CasbAI at AraSentEval 2026: Robust Dialectal Arabic Sentiment Classification via Multi-Seed Ensembling and Data Augmentation.](https://md.research.elamur.ai/free/en/papers/abdelaziz-2026-casbai-arasenteval-2026-robust-dialectal/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Chaima Abdelaziz, KahinaHouda Saadaoui, Faiza BELBACHIR, et al.*2026*
64. **[University of Tripoli at AraSentEval: Fine-Tuning MARBERTv2 and CAMELBERT for Multi-Dialect Arabic Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/nwesri-2026-university-tripoli-arasenteval-fine-tuning/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Abdusalam F. Ahmad Nwesri, Amani Bahlul Sharif, Sarah Farag S. Hmeid*2026*
65. [**Multilevel sentiment analysis in arabic arXiv:2205.12328**Ahmed Nassar, Ebru Sezer*2022*](https://md.research.elamur.ai/free/en/papers/nassar-2022-multilevel-sentiment-analysis-arabic/)
66. [**Sentiment Analysis in Poems in Misurata Sub-dialect — A Sentiment Detection in an Arabic Sub-dialect arXiv:2109.07203**Azza Abugharsa*2021*](https://md.research.elamur.ai/free/en/papers/abugharsa-2021-sentiment-analysis-poems-misurata-sub/)

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