---
title: "Who cites Support-Vector Networks — 578 papers of our library"
description: "578 papers of the Elamur Research library cite «Support-Vector Networks», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/cortes-1995-support-vector-networks/cited-by/"
---
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# Who cites «Support-Vector Networks»

578 papers of our library cite it (of the 149,439 whose bibliographies we read) · 61 with a page here, the most cited first · [← back to «Support-Vector Networks»](https://md.research.elamur.ai/free/en/papers/cortes-1995-support-vector-networks/)

1. **[Text Categorization with Support Vector Machines: Learning with Many Relevant Features](https://md.research.elamur.ai/free/en/papers/joachims-1998-text-categorization-support-vector-machines/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Thorsten Joachims*1998 · 8,315 citations*
2. **[A Survey on Evaluation of Large Language Models](https://md.research.elamur.ai/free/en/papers/chang-2023-survey-evaluation-large-language-models/) [ACM Transactions on Intelligent Systems and Technology](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-intelligent-systems-and-technology/)**Yupeng Chang, Xu Wang, Jindong Wang, et al.*2023 · 3,648 citations*
3. **[Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/min-2021-recent-advances-natural-language-processing/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Bonan Min, Hayley Ross, Elior Sulem, et al.*2021 · 1,556 citations*
4. **[Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph](https://md.research.elamur.ai/free/en/papers/zadeh-2018-multimodal-language-analysis-wild-cmu/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**AmirAli Bagher Zadeh, Paul Pu Liang, Soujanya Poria, et al.*2018 · 1,522 citations*
5. **[Efficient Low-rank Multimodal Fusion With Modality-Specific Factors](https://md.research.elamur.ai/free/en/papers/liu-2018-efficient-low-rank-multimodal-fusion/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhun Liu, Ying Shen, Varun Bharadhwaj Lakshminarasimhan, et al.*2018 · 1,188 citations*
6. **[Dependency Tree Kernels for Relation Extraction](https://md.research.elamur.ai/free/en/papers/culotta-2004-dependency-tree-kernels-relation-extraction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Aron Culotta, Jeffrey Sorensen*2004 · 1,001 citations*
7. **[Chunking with Support Vector Machines](https://md.research.elamur.ai/free/en/papers/kudo-2001-chunking-support-vector-machines/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Taku Kudo, Yuji Matsumoto*2001 · 649 citations*
8. **[Parsing Argumentation Structures in Persuasive Essays](https://md.research.elamur.ai/free/en/papers/stab-2017-parsing-argumentation-structures-persuasive-essays/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Christian Stab, Iryna Gurevych*2017 · 613 citations*
9. **[Argument Mining: A Survey](https://md.research.elamur.ai/free/en/papers/lawrence-2019-argument-mining-survey/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**John Lawrence, Chris Reed*2019 · 601 citations*
10. [**Masked Autoencoders Are Scalable Vision Learners arXiv:2111.06377**Kaiming He, Xinlei Chen, Saining Xie, et al.*2021 · 596 citations*](https://md.research.elamur.ai/free/en/papers/he-2021-masked-autoencoders-scalable-vision-learners/)
11. [**LexGLUE: A Benchmark Dataset for Legal Language Understanding in English arXiv:2110.00976**Ilias Chalkidis; Abhik Jana; Dirk Hartung; Michael Bommarito; Ion Androutsopoulos; Daniel Martin Katz;, Nikolaos Aletras*2021 · 258 citations*](https://md.research.elamur.ai/free/en/papers/chalkidis-2021-lexglue-benchmark-dataset-legal-language/)
12. **[Argumentation Mining in User-Generated Web Discourse](https://md.research.elamur.ai/free/en/papers/habernal-2017-argumentation-mining-user-generated-web/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Ivan Habernal, Iryna Gurevych*2017 · 243 citations*
13. **[LexGLUE: A Benchmark Dataset for Legal Language Understanding in English](https://md.research.elamur.ai/free/en/papers/chalkidis-2022-lexglue-benchmark-dataset-legal-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ilias Chalkidis, Abhik Jana, Dirk Hartung, et al.*2022 · 239 citations*
14. **[Analyzing and Integrating Dependency Parsers](https://md.research.elamur.ai/free/en/papers/mcdonald-2011-analyzing-integrating-dependency-parsers/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Ryan McDonald, Joakim Nivre*2011 · 179 citations*
15. **[An Impact Analysis of Features in a Classification Approach to Irony Detection in Product Reviews](https://md.research.elamur.ai/free/en/papers/buschmeier-2014-impact-analysis-features-classification-approach/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Konstantin Buschmeier, Philipp Cimiano, Roman Klinger*2014 · 140 citations*
16. **[Modeling Organization in Student Essays](https://md.research.elamur.ai/free/en/papers/persing-2010-modeling-organization-student-essays/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Isaac Persing, Alan Davis, Vincent Ng*2010 · 138 citations*
17. **[Sarcasm Analysis Using Conversation Context](https://md.research.elamur.ai/free/en/papers/ghosh-2018-sarcasm-analysis-conversation-context/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Debanjan Ghosh, Alexander R. Fabbri, Smaranda Muresan*2018 · 119 citations*
18. **[Exploring Amharic Sentiment Analysis from Social Media Texts: Building Annotation Tools and Classification Models](https://md.research.elamur.ai/free/en/papers/yimam-2020-exploring-amharic-sentiment-analysis-social/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Seid Muhie Yimam, Hizkiel Mitiku Alemayehu, Abinew Ayele, et al.*2020 · 87 citations*
19. **[Harnessing Cognitive Features for Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/mishra-2016-harnessing-cognitive-features-sarcasm-detection/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Abhijit Mishra, Diptesh Kanojia, Seema Nagar, et al.*2016 · 85 citations*
20. **[Hate Speech Classifiers Learn Normative Social Stereotypes](https://md.research.elamur.ai/free/en/papers/davani-2023-hate-speech-classifiers-learn-normative/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Aida Mostafazadeh Davani, Mohammad Atari, Brendan Kennedy, et al.*2023 · 84 citations*
21. **[Finding Support Examples for In-Context Learning](https://md.research.elamur.ai/free/en/papers/li-2023-finding-support-examples-context-learning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiaonan Li, Xipeng Qiu*2023 · 78 citations*
22. **[Classifying English Documents by National Dialect](https://md.research.elamur.ai/free/en/papers/lui-2013-classifying-english-documents-national-dialect/) [Annual Workshop of the Australasian Language Technology Association (ALTA)](https://md.research.elamur.ai/free/en/venues/alta/)**Marco Lui, Paul Cook*2013 · 68 citations*
23. **[MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks](https://md.research.elamur.ai/free/en/papers/zhang-2024-mlcopilot-unleashing-power-large-language/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Lei Zhang, Yuge Zhang, Kan Ren, et al.*2024 · 52 citations*
24. **[Discriminative Reranking of Discourse Parses Using Tree Kernels](https://md.research.elamur.ai/free/en/papers/joty-2014-discriminative-reranking-discourse-parses-tree/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Shafiq Joty, Alessandro Moschitti*2014 · 42 citations*
25. [**The Influence of Context on Dialogue Act Recognition arXiv:1506.00839**Eugenio Ribeiro, Ricardo Ribeiro, David Martins de Matos*2015 · 32 citations*](https://md.research.elamur.ai/free/en/papers/ribeiro-2015-influence-context-dialogue-act-recognition/)
26. **[A Survey on Asking Clarification Questions Datasets in Conversational Systems](https://md.research.elamur.ai/free/en/papers/rahmani-2023-survey-asking-clarification-questions-datasets/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hossein A. Rahmani, Xi Wang, Yue Feng, et al.*2023 · 28 citations*
27. [**A Comparative Study of Feature Selection Methods for Dialectal Arabic Sentiment Classification Using Support Vector Machine arXiv:1902.06242 · IJCSNS International Journal of Computer Science and Network Security, VOL.19 No.1, January 2019, 167-176**Omar Al-Harbi*2019 · 27 citations*](https://md.research.elamur.ai/free/en/papers/al-harbi-2019-comparative-study-feature-selection-methods/)
28. **[Machine Learning for Metrical Analysis of English Poetry](https://md.research.elamur.ai/free/en/papers/agirrezabal-2016-machine-learning-metrical-analysis-english/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Manex Agirrezabal, Iñaki Alegria, Mans Hulden*2016 · 26 citations*
29. **[Predicting In-Game Actions from Interviews of NBA Players](https://md.research.elamur.ai/free/en/papers/oved-2020-predicting-game-actions-interviews-nba/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Nadav Oved, Amir Feder, Roi Reichart*2020 · 24 citations*
30. **[Detecting Institutional Dialog Acts in Police Traffic Stops](https://md.research.elamur.ai/free/en/papers/prabhakaran-2018-detecting-institutional-dialog-acts-police/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Vinodkumar Prabhakaran, Camilla Griffiths, Hang Su, et al.*2018 · 20 citations*
31. **[Coreference in Wikipedia: Main Concept Resolution](https://md.research.elamur.ai/free/en/papers/ghaddar-2016-coreference-wikipedia-main-concept-resolution/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Abbas Ghaddar, Phillippe Langlais*2016 · 20 citations*
32. **[Predict and Use: Harnessing Predicted Gaze to Improve Multimodal Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/tiwari-2023-predict-use-harnessing-predicted-gaze/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Divyank Tiwari, Diptesh Kanojia, Anupama Ray, et al.*2023 · 18 citations*
33. **[BESTCUT: A Graph Algorithm for Coreference Resolution](https://md.research.elamur.ai/free/en/papers/nicolae-2006-bestcut-graph-algorithm-coreference-resolution/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Cristina Nicolae, Gabriel Nicolae*2006 · 17 citations*
34. **[WOLI at SemEval-2020 Task 12: Arabic Offensive Language Identification on Different Twitter Datasets](https://md.research.elamur.ai/free/en/papers/otiefy-2020-woli-semeval-2020-task-12/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Yasser Otiefy, Ahmed Abdelmalek, Islam El Hosary*2020 · 16 citations*
35. **[TripleFact: Defending Data Contamination in the Evaluation of LLM-driven Fake News Detection](https://md.research.elamur.ai/free/en/papers/xu-2025-triplefact-defending-data-contamination-evaluation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Cheng Xu, Nan Yan*2025 · 12 citations*
36. **[A Corpus for Sentence-Level Subjectivity Detection on English News Articles](https://md.research.elamur.ai/free/en/papers/antici-2024-corpus-sentence-level-subjectivity-detection/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Francesco Antici, Federico Ruggeri, Andrea Galassi, et al.*2024 · 10 citations*
37. **[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*
38. [**HunyuanOCR Technical Report arXiv:2511.19575**Hunyuan Vision Team, Pengyuan Lyu, Xingyu Wan, et al.*2025 · 9 citations*](https://md.research.elamur.ai/free/en/papers/team-2025-vision-hunyuanocr-technical-report/)
39. **[Cross-corpus Readability Compatibility Assessment for English Texts](https://md.research.elamur.ai/free/en/papers/li-2023-cross-corpus-readability-compatibility-assessment/) [IEEE Access](https://md.research.elamur.ai/free/en/venues/ieee-access/)**Zhenzhen Li, Han Ding, Shaohong Zhang*2023 · 6 citations*
40. [**ARAACOM: ARAbic Algerian Corpus for Opinion Mining arXiv:2001.08010 · ICCES '17: Proceedings of the International Conference on Computing for Engineering and Sciences, Jul 2017, Istanbul, France. pp.35-39**Zitouni Abdelhafid, Hichem Rahab, Abdelhafid Zitouni, et al.*2017 · 6 citations*](https://md.research.elamur.ai/free/en/papers/abdelhafid-2020-araacom-arabic-algerian-corpus-opinion/)
41. **[False Sense of Security: Why Probing-based Malicious Input Detection Fails to Generalize](https://md.research.elamur.ai/free/en/papers/wang-2026-false-sense-security-why-probing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Cheng Wang, Zeming Wei, Qin Liu, et al.*2026 · 5 citations*
42. **[RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates](https://md.research.elamur.ai/free/en/papers/kowsher-2025-rocoft-efficient-finetuning-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Md Kowsher, Tara Esmaeilbeig, Chun-Nam Yu, et al.*2025 · 5 citations*
43. **[ReDASPersuasion at ArAIEval Shared Task: Multilingual and Monolingual Models For Arabic Persuasion Detection](https://md.research.elamur.ai/free/en/papers/qachfar-2023-redaspersuasion-araieval-shared-task-multilingual/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Fatima Zahra Qachfar, Rakesh Verma*2023 · 4 citations*
44. [**An Empirical Study of Differences between Conversion Schemes and Annotation Guidelines**Anders Søgaard*2013 · 3 citations*](https://md.research.elamur.ai/free/en/papers/sogaard-2013-empirical-study-differences-between-conversion/)
45. **[PhonemeDF: A Synthetic Speech Dataset for Audio Deepfake Detection and Naturalness Evaluation](https://md.research.elamur.ai/free/en/papers/nallaguntla-2026-phonemedf-synthetic-speech-dataset-audio/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Vamshi Nallaguntla, Aishwarya R. Fursule, Shruti Kshirsagar, et al.*2026 · 2 citations*
46. **[AraTar: A Corpus to Support the Fine-grained Detection of Hate Speech Targets in the Arabic Language](https://md.research.elamur.ai/free/en/papers/alghamdi-2024-aratar-corpus-support-fine-grained/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Seham Alghamdi, Youcef Benkhedda, Basma Alharbi, et al.*2024 · 2 citations*
47. **[Benchmarking Models for Low-Resource Nepali Event Extraction with Trigger Phrase Identification and Event Classification](https://md.research.elamur.ai/free/en/papers/maharjan-2026-benchmarking-models-low-resource-nepali/) [Workshop on Event Extraction and Understanding: Challenges and Applications](https://md.research.elamur.ai/free/en/venues/eeuca/)**Sujal Maharjan, Astha Shrestha, Lakshmojee Koduru, et al.*2026 · 1 citation*
48. **[mdok-style at SemEval-2026 Task 10: Finetuning LLMs for Conspiracy Detection](https://md.research.elamur.ai/free/en/papers/macko-2026-mdok-style-semeval-2026-task-2026-semeval-1-64/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Dominik Macko*2026 · 1 citation*
49. **[UPR at SemEval-2026 Task 9: Polarization Detection in Urdu with Language-Specific Transformer and Data Augmentation](https://md.research.elamur.ai/free/en/papers/wazir-2026-upr-semeval-2026-task-9/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Alishba Wazir, Muhammad Asad Khan, Junaid Rashid, et al.*2026 · 1 citation*
50. **[Phantoms at BAREC Shared Task 2025: Enhancing Arabic Readability Prediction with Hybrid BERT and Linguistic Features](https://md.research.elamur.ai/free/en/papers/alhassan-2025-phantoms-barec-shared-task-2025/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Ahmed Alhassan, Asim Mohamed, Moayad Elamin*2025 · 1 citation*
51. **[JCT at SemEval-2022 Task 6-A: Sarcasm Detection in Tweets Written in English and Arabic using Preprocessing Methods and Word N-grams](https://md.research.elamur.ai/free/en/papers/kerner-2022-jct-semeval-2022-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Yaakov HaCohen-Kerner, Matan Fchima, Ilan Meyrowitsch*2022 · 1 citation*
52. **[An Enhanced Corpus for Arabic Newspapers Comments](https://md.research.elamur.ai/free/en/papers/rahab-2021-enhanced-corpus-arabic-newspapers-comments/) [The International Arab Journal of Information Technology](https://md.research.elamur.ai/free/en/venues/the-international-arab-journal-of-information-technology/)**Hichem Rahab, Abdelhafid Zitouni, Mahieddine Djoudi*2020 · 1 citation*
53. **[ADHD-Lang: A Large-Scale Social Media Dataset for Verbal Behavior and Digital Phenotyping in Adult ADHD](https://md.research.elamur.ai/free/en/papers/wiechmann-2026-adhd-lang-large-scale-social/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Daniel Wiechmann, Elma Kerz, Edward Kempa, et al.*2026*
54. **[Automatic Evaluation of Open-Domain Real Conversations: Combining Encoder-Based, Dialogue-Based Features and Large Language Models Ratings](https://md.research.elamur.ai/free/en/papers/lopez-2026-automatic-evaluation-open-domain-real/) [International Workshop on Spoken Dialogue System Technology](https://md.research.elamur.ai/free/en/venues/iwsds/)**Cristina Conforto-López, Marcos Estecha-Garitagoitia, Mario Rodriguez-Cantelar, et al.*2026*
55. **[Benchmarking LLMs for Aspect-Based Sentiment Classification in Slovene Historical Periodicals](https://md.research.elamur.ai/free/en/papers/munda-2026-benchmarking-llms-aspect-based-sentiment/) [Shaping Multilingual, Multimodal AI for the Social Sciences and Humanities @ LREC](https://md.research.elamur.ai/free/en/venues/llms4ssh/)**Tina Munda, Filip Dobranić, Uroš Šmajdek, et al.*2026*
56. **[TDMulti: A Tunisian Dialect-Modern Standard Arabic Multitask Corpus with a Context-Aware Cross-Attention BERT Model](https://md.research.elamur.ai/free/en/papers/torjmen-2026-tdmulti-tunisian-dialect-modern-standard/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Roua Torjmen, Kais HADDAR*2026*
57. **[UPR at SemEval-2026 Task 9: Multi-Label Polarization and Manifestation Detection in Urdu](https://md.research.elamur.ai/free/en/papers/shahzad-2026-upr-semeval-2026-task-9/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Mtayyaba Shahzad, Inzmam Khadam, Zaufishan Mahmood, et al.*2026*
58. [**Automatic Proficiency Assessment in L2 English Learners arXiv:2505.02615**Armita Mohammadi, Alessandro Lameiras Koerich, Laureano Moro-Velazquez, et al.*2025*](https://md.research.elamur.ai/free/en/papers/mohammadi-2025-automatic-proficiency-assessment-l2-english/)
59. **[Method for Expanding Event Commonsense Knowledge Graph Based on Large Language Models (基于大语言模型的事件常识知识图谱扩展方法)](https://md.research.elamur.ai/free/en/papers/huang-2024-method-expanding-event/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Qiaojuan Huang (黄俏娟), Cungen Cao (曹存根), Ya Wang (王亚), et al.*2024*
60. [**A Sequence-to-Sequence Approach for Arabic Pronoun Resolution arXiv:2305.11529**Hanan S. Murayshid, Hafida Benhidour, Said Kerrache*2023*](https://md.research.elamur.ai/free/en/papers/murayshid-2023-sequence-sequence-approach-arabic-pronoun/)
61. **[Baseline English and Maltese-English Classification Models for Subjectivity Detection, Sentiment Analysis, Emotion Analysis, Sarcasm Detection, and Irony Detection](https://md.research.elamur.ai/free/en/papers/cortis-2022-baseline-english-maltese-english-classification/) [SIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered Languages](https://md.research.elamur.ai/free/en/venues/sigul/)**Keith Cortis, Brian Davis*2022*

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