Elamur Research⌕
☰
home / venues / International Workshop on Semantic Evaluation… / works

Works of International Workshop on Semantic Evaluation (SemEval)

76 works · the most cited first · ← International Workshop on Semantic Evaluation…

  1. SemEval-2014 Task 4: Aspect Based Sentiment AnalysisMaria Pontiki, Dimitris Galanis, John Pavlopoulos, et al.2014 · 2,405 citations
  2. SemEval-2016 Task 5: Aspect Based Sentiment AnalysisMaria Pontiki, Dimitris Galanis, Haris Papageorgiou, et al.2016 · 1,656 citations
  3. SemEval-2015 Task 12: Aspect Based Sentiment AnalysisMaria Pontiki, Dimitris Galanis, Haris Papageorgiou, et al.2015 · 1,446 citations
  4. SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in TwitterValerio Basile, Cristina Bosco, Elisabetta Fersini, et al.2019 · 1,311 citations
  5. SemEval-2016 Task 6: Detecting Stance in TweetsSaif Mohammad, Svetlana Kiritchenko, Parinaz Sobhani, et al.2016 · 1,196 citations
  6. SemEval-2017 Task 4: Sentiment Analysis in TwitterSara Rosenthal, Noura Farra, Preslav Nakov2017 · 1,159 citations
  7. SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval)Marcos Zampieri, Shervin Malmasi, Preslav Nakov, et al.2019 · 1,109 citations
  8. SemEval-2018 Task 1: Affect in TweetsSaif Mohammad, Felipe Bravo-Marquez, Mohammad Salameh, et al.2018 · 1,092 citations
  9. SemEval-2016 Task 4: Sentiment Analysis in TwitterPreslav Nakov, Alan Ritter, Sara Rosenthal, et al.2016 · 1,081 citations
  10. SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused EvaluationDaniel Cer, Mona Diab, Eneko Agirre, et al.2017 · 907 citations
  11. SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual EvaluationEneko Agirre, Carmen Banea, Daniel Cer, et al.2016 · 820 citations
  12. NRC-Canada-2014: Detecting Aspects and Sentiment in Customer ReviewsSvetlana Kiritchenko, Xiaodan Zhu, Colin Cherry, et al.2014 · 788 citations
  13. SemEval-2014 Task 10: Multilingual Semantic Textual SimilarityEneko Agirre, Carmen Banea, Claire Cardie, et al.2014 · 783 citations
  14. SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on InterpretabilityEneko Agirre, Carmen Banea, Claire Cardie, et al.2015 · 758 citations
  15. SemEval-2014 Task 9: Sentiment Analysis in TwitterSara Rosenthal, Alan Ritter, Preslav Nakov, et al.2014 · 741 citations
  16. DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment AnalysisChristos Baziotis, Nikos Pelekis, Christos Doulkeridis2017 · 587 citations
  17. SemEval-2014 Task 1: Evaluation of Compositional Distributional Semantic Models on Full Sentences through Semantic Relatedness and Textual EntailmentMarco Marelli, Luisa Bentivogli, Marco Baroni, et al.2014 · 520 citations
  18. SemEval-2015 Task 10: Sentiment Analysis in TwitterSara Rosenthal, Preslav Nakov, Svetlana Kiritchenko, et al.2015 · 490 citations
  19. SemEval-2018 Task 3: Irony Detection in English TweetsCynthia Van Hee, Els Lefever, Véronique Hoste2018 · 467 citations
  20. SemEval-2010 Task 5 : Automatic Keyphrase Extraction from Scientific ArticlesSu Nam Kim, Olena Medelyan, Min-Yen Kan, et al.2010 · 459 citations
  21. SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific PublicationsIsabelle Augenstein, Mrinal Das, Sebastian Riedel, et al.2017 · 435 citations
  22. SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumoursLeon Derczynski, Kalina Bontcheva, Maria Liakata, et al.2017 · 427 citations
  23. KUISAIL at SemEval-2020 Task 12: BERT-CNN for Offensive Speech Identification in Social MediaAli Safaya, Moutasem Abdullatif, Deniz Yuret2020 · 409 citations
  24. SemEval-2019 Task 3: EmoContext Contextual Emotion Detection in TextAnkush Chatterjee, Kedhar Nath Narahari, Meghana Joshi, et al.2019 · 409 citations
  25. SemEval-2020 Task 11: Detection of Propaganda Techniques in News ArticlesGiovanni Da San Martino, Alberto Barrón-Cedeño, Henning Wachsmuth, et al.2020 · 371 citations
  26. SemEval-2020 Task 1: Unsupervised Lexical Semantic Change DetectionDominik Schlechtweg, Barbara McGillivray, Simon Hengchen, et al.2020 · 351 citations
  27. SemEval-2019 Task 4: Hyperpartisan News DetectionJohannes Kiesel, Maria Mestre, Rishabh Shukla, et al.2019 · 335 citations
  28. SemEval-2016 Task 3: Community Question AnsweringPreslav Nakov, Lluís Màrquez, Alessandro Moschitti, et al.2016 · 316 citations
  29. SemEval 2016 Task 11: Complex Word IdentificationGustavo Paetzold, Lucia Specia2016 · 304 citations
  30. SemEval-2019 Task 7: RumourEval, Determining Rumour Veracity and Support for RumoursGenevieve Gorrell, Elena Kochkina, Maria Liakata, et al.2019 · 290 citations
  31. SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations between Pairs of NominalsIris Hendrickx, Su Nam Kim, Zornitsa Kozareva, et al.2010 · 283 citations
  32. SemEval-2016 Task 12: Clinical TempEvalSteven Bethard, Guergana Savova, Wei-Te Chen, et al.2016 · 263 citations
  33. SemEval-2020 Task 8: Memotion Analysis- the Visuo-Lingual Metaphor!Chhavi Sharma, Deepesh Bhageria, William Scott, et al.2020 · 260 citations
  34. NULI at SemEval-2019 Task 6: Transfer Learning for Offensive Language Detection using Bidirectional TransformersPing Liu, Wen Li, Liang Zou2019 · 252 citations
  35. SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed TweetsParth Patwa, Gustavo Aguilar, Sudipta Kar, et al.2020 · 240 citations
  36. SemEval-2022 Task 5: Multimedia Automatic Misogyny IdentificationElisabetta Fersini, Francesca Gasparini, Giulia Rizzi, et al.2022 · 234 citations
  37. SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT)Wei Xu, Chris Callison-Burch, Bill Dolan2015 · 230 citations
  38. MITRE at SemEval-2016 Task 6: Transfer Learning for Stance DetectionGuido Zarrella, Amy Marsh2016 · 223 citations
  39. SemEval-2010 Task 14: Word Sense Induction &DisambiguationSuresh Manandhar, Ioannis Klapaftis, Dmitriy Dligach, et al.2010 · 194 citations
  40. SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER)Shervin Malmasi, Anjie Fang, Besnik Fetahu, et al.2022 · 190 citations
  41. SemEval-2023 Task 10: Explainable Detection of Online SexismHannah Kirk, Wenjie Yin, Bertie Vidgen, et al.2023 · 185 citations
  42. SemEval-2021 Task 5: Toxic Spans DetectionJohn Pavlopoulos, Jeffrey Sorensen, Léo Laugier, et al.2021 · 172 citations
  43. SemEval-2021 Task 1: Lexical Complexity PredictionMatthew Shardlow, Richard Evans, Gustavo Henrique Paetzold, et al.2021 · 155 citations
  44. pkudblab at SemEval-2016 Task 6 : A Specific Convolutional Neural Network System for Effective Stance DetectionWan Wei, Xiao Zhang, Xuqin Liu, et al.2016 · 155 citations
  45. SemEval-2022 Task 6: iSarcasmEval, Intended Sarcasm Detection in English and ArabicIbrahim Abu Farha, Silviu Vlad Oprea, Steven Wilson, et al.2022 · 146 citations
  46. SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence EmbeddingHarish Tayyar Madabushi, Edward Gow-Smith, Marcos Garcia, et al.2022 · 108 citations
  47. SemEval-2016 Task 10: Detecting Minimal Semantic Units and their Meanings (DiMSUM)Nathan Schneider, Dirk Hovy, Anders Johannsen, et al.2016 · 100 citations
  48. CAMR at SemEval-2016 Task 8: An Extended Transition-based AMR ParserChuan Wang, Sameer Pradhan, Xiaoman Pan, et al.2016 · 80 citations
  49. BART: A Multilingual Anaphora Resolution SystemSamuel Broscheit, Massimo Poesio, Simone Paolo Ponzetto, et al.2010 · 55 citations
  50. WLV at SemEval-2018 Task 3: Dissecting Tweets in Search of IronyOmid Rohanian, Shiva Taslimipoor, Richard Evans, et al.2018 · 39 citations
  51. UBIU: A Language-Independent System for Coreference ResolutionDesislava Zhekova, Sandra Kübler2010 · 39 citations
  52. SUCRE: A Modular System for Coreference ResolutionHamidreza Kobdani, Hinrich Schütze2010 · 35 citations
  53. SemEval-2025 Task 1: AdMIRe - Advancing Multimodal Idiomaticity RepresentationThomas Pickard, Aline Villavicencio, Maggie Mi, et al.2025 · 30 citations
  54. NLPRL-IITBHU at SemEval-2018 Task 3: Combining Linguistic Features and Emoji pre-trained CNN for Irony Detection in TweetsHarsh Rangwani, Devang Kulshreshtha, Anil Kumar Singh2018 · 28 citations
  55. TANL-1: Coreference Resolution by Parse Analysis and Similarity ClusteringGiuseppe Attardi, Maria Simi, Stefano Dei Rossi2010 · 26 citations
  56. RelaxCor: A Global Relaxation Labeling Approach to Coreference ResolutionEmili Sapena, Lluís Padró, Jordi Turmo2010 · 25 citations
  57. SemEval-2026 Task 10: PsyCoMark – Psycholinguistic Conspiracy Marker Extraction and DetectionMattia Samory, Felix Soldner, Veronika Batzdorfer2026 · 20 citations
  58. RIGOTRIO at SemEval-2017 Task 9: Combining Machine Learning and Grammar Engineering for AMR Parsing and GenerationNormunds Gruzitis, Didzis Gosko, Guntis Barzdins2017 · 19 citations
  59. X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm DetectionYaqian Han, Yekun Chai, Shuohuan Wang, et al.2022 · 15 citations
  60. CS-UM6P at SemEval-2022 Task 6: Transformer-based Models for Intended Sarcasm Detection in English and ArabicAbdelkader El Mahdaouy, Abdellah El Mekki, Kabil Essefar, et al.2022 · 11 citations
  61. Plumeria at SemEval-2022 Task 6: Sarcasm Detection for English and Arabic Using Transformers and Data AugmentationMosab Shaheen, Shubham Kumar Nigam2022 · 10 citations
  62. THU_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTMChuhan Wu, Fangzhao Wu, Junxin Liu, et al.2018 · 10 citations
  63. YNU-HPCC at SemEval-2022 Task 6: Transformer-based Model for Intended Sarcasm Detection in English and ArabicGuangmin Zheng, Jin Wang, Xuejie Zhang2022 · 9 citations
  64. SemEval-2022 Task 3: PreTENS — Evaluating Neural Networks on Presuppositional Semantic KnowledgeRoberto Zamparelli, Shammur Chowdhury, Dominique Brunato, et al.2022 · 8 citations
  65. akaBERT at SemEval-2022 Task 6: An Ensemble Transformer-based Model for Arabic Sarcasm DetectionAbdulrahman Mohamed Kamr, Ensaf Mohamed2022 · 7 citations
  66. MarSan at SemEval-2022 Task 6: iSarcasm Detection via T5 and Sequence LearnersMaryam Najafi, Ehsan Tavan2022 · 7 citations
  67. UoR-NCL at SemEval-2022 Task 6: Using ensemble loss with BERT for intended sarcasm detectionEmmanuel Osei-Brefo, Huizhi Liang2022 · 4 citations
  68. AlexU-AL at SemEval-2022 Task 6: Detecting Sarcasm in Arabic Text Using Deep Learning TechniquesAya Lotfy, Marwan Torki, Nagwa El-Makky2022 · 3 citations
  69. SarcasmDet at SemEval-2022 Task 6: Detecting Sarcasm using Pre-trained Transformers in English and Arabic LanguagesMalak Abdullah, Dalya Alnore, Safa Swedat, et al.2022 · 2 citations
  70. High Tech team at SemEval-2022 Task 6: Intended Sarcasm Detection for Arabic textsHamza Alami, Abdessamad Benlahbib, Ahmed Alami2022 · 2 citations
  71. Dartmouth at SemEval-2022 Task 6: Detection of SarcasmRishik Lad, Weicheng Ma, Soroush Vosoughi2022 · 2 citations
  72. FII UAIC at SemEval-2022 Task 6: iSarcasmEval - Intended Sarcasm Detection in English and ArabicTudor Manoleasa, Daniela Gifu, Iustin Sandu2022 · 2 citations
  73. GIL-Zaragoza at SemEval 2026 Task 11: Comparing Classification, Autoformalization, and Ontologies for Formal Reasoning CapabilitiesFrancisco Lopez-Ponce, Lucia Pitarch, Iván Saavedra Martínez, et al.2026 · 1 citation
  74. BFCAI at SemEval-2022 Task 6: Multi-Layer Perceptron for Sarcasm Detection in Arabic TextsNsrin Ashraf, Fathy Elkazzaz, Mohamed Taha, et al.2022 · 1 citation
  75. JCT at SemEval-2022 Task 6-A: Sarcasm Detection in Tweets Written in English and Arabic using Preprocessing Methods and Word N-gramsYaakov HaCohen-Kerner, Matan Fchima, Ilan Meyrowitsch2022 · 1 citation
  76. MRS at SemEval-2025 Task 11: A Hybrid Approach for Bridging the Gap in Text-Based Emotion DetectionMilad Afshari, Richard Frost, Samantha Kissel, et al.2025

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/venues/semeval/works/