---
title: "International Workshop on Semantic Evaluation… — works"
description: "76 works of International Workshop on Semantic Evaluation (SemEval) in our library, the most cited first."
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---
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# Works of International Workshop on Semantic Evaluation (SemEval)

76 works · the most cited first · [← International Workshop on Semantic Evaluation…](https://md.research.elamur.ai/free/en/venues/semeval/)

1. [**SemEval-2014 Task 4: Aspect Based Sentiment Analysis**Maria Pontiki, Dimitris Galanis, John Pavlopoulos, et al.*2014 · 2,405 citations*](https://md.research.elamur.ai/free/en/papers/pontiki-2014-semeval-2014-task-4-aspect/)
2. [**SemEval-2016 Task 5: Aspect Based Sentiment Analysis**Maria Pontiki, Dimitris Galanis, Haris Papageorgiou, et al.*2016 · 1,656 citations*](https://md.research.elamur.ai/free/en/papers/pontiki-2016-semeval-2016-task-5-aspect/)
3. [**SemEval-2015 Task 12: Aspect Based Sentiment Analysis**Maria Pontiki, Dimitris Galanis, Haris Papageorgiou, et al.*2015 · 1,446 citations*](https://md.research.elamur.ai/free/en/papers/pontiki-2015-semeval-2015-task-12-aspect/)
4. [**SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter**Valerio Basile, Cristina Bosco, Elisabetta Fersini, et al.*2019 · 1,311 citations*](https://md.research.elamur.ai/free/en/papers/basile-2019-semeval-2019-task-5-multilingual/)
5. [**SemEval-2016 Task 6: Detecting Stance in Tweets**Saif Mohammad, Svetlana Kiritchenko, Parinaz Sobhani, et al.*2016 · 1,196 citations*](https://md.research.elamur.ai/free/en/papers/mohammad-2016-semeval-2016-task-6-detecting/)
6. [**SemEval-2017 Task 4: Sentiment Analysis in Twitter**Sara Rosenthal, Noura Farra, Preslav Nakov*2017 · 1,159 citations*](https://md.research.elamur.ai/free/en/papers/rosenthal-2017-semeval-2017-task-4-sentiment/)
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*](https://md.research.elamur.ai/free/en/papers/zampieri-2019-semeval-2019-task-6-identifying/)
8. [**SemEval-2018 Task 1: Affect in Tweets**Saif Mohammad, Felipe Bravo-Marquez, Mohammad Salameh, et al.*2018 · 1,092 citations*](https://md.research.elamur.ai/free/en/papers/mohammad-2018-semeval-2018-task-1-affect/)
9. [**SemEval-2016 Task 4: Sentiment Analysis in Twitter**Preslav Nakov, Alan Ritter, Sara Rosenthal, et al.*2016 · 1,081 citations*](https://md.research.elamur.ai/free/en/papers/nakov-2016-semeval-2016-task-4-sentiment/)
10. [**SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation**Daniel Cer, Mona Diab, Eneko Agirre, et al.*2017 · 907 citations*](https://md.research.elamur.ai/free/en/papers/cer-2017-semeval-2017-task-1-semantic/)
11. [**SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation**Eneko Agirre, Carmen Banea, Daniel Cer, et al.*2016 · 820 citations*](https://md.research.elamur.ai/free/en/papers/agirre-2016-semeval-2016-task-1-semantic/)
12. [**NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews**Svetlana Kiritchenko, Xiaodan Zhu, Colin Cherry, et al.*2014 · 788 citations*](https://md.research.elamur.ai/free/en/papers/kiritchenko-2014-nrc-canada-2014-detecting-aspects/)
13. [**SemEval-2014 Task 10: Multilingual Semantic Textual Similarity**Eneko Agirre, Carmen Banea, Claire Cardie, et al.*2014 · 783 citations*](https://md.research.elamur.ai/free/en/papers/agirre-2014-semeval-2014-task-10-multilingual/)
14. [**SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability**Eneko Agirre, Carmen Banea, Claire Cardie, et al.*2015 · 758 citations*](https://md.research.elamur.ai/free/en/papers/agirre-2015-semeval-2015-task-2-semantic/)
15. [**SemEval-2014 Task 9: Sentiment Analysis in Twitter**Sara Rosenthal, Alan Ritter, Preslav Nakov, et al.*2014 · 741 citations*](https://md.research.elamur.ai/free/en/papers/rosenthal-2014-semeval-2014-task-9-sentiment/)
16. [**DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis**Christos Baziotis, Nikos Pelekis, Christos Doulkeridis*2017 · 587 citations*](https://md.research.elamur.ai/free/en/papers/baziotis-2017-datastories-semeval-2017-task-4/)
17. [**SemEval-2014 Task 1: Evaluation of Compositional Distributional Semantic Models on Full Sentences through Semantic Relatedness and Textual Entailment**Marco Marelli, Luisa Bentivogli, Marco Baroni, et al.*2014 · 520 citations*](https://md.research.elamur.ai/free/en/papers/marelli-2014-semeval-2014-task-1-evaluation/)
18. [**SemEval-2015 Task 10: Sentiment Analysis in Twitter**Sara Rosenthal, Preslav Nakov, Svetlana Kiritchenko, et al.*2015 · 490 citations*](https://md.research.elamur.ai/free/en/papers/rosenthal-2015-semeval-2015-task-10-sentiment/)
19. [**SemEval-2018 Task 3: Irony Detection in English Tweets**Cynthia Van Hee, Els Lefever, Véronique Hoste*2018 · 467 citations*](https://md.research.elamur.ai/free/en/papers/hee-2018-semeval-2018-task-3-irony/)
20. [**SemEval-2010 Task 5 : Automatic Keyphrase Extraction from Scientific Articles**Su Nam Kim, Olena Medelyan, Min-Yen Kan, et al.*2010 · 459 citations*](https://md.research.elamur.ai/free/en/papers/kim-2010-semeval-2010-task-5-automatic/)
21. [**SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications**Isabelle Augenstein, Mrinal Das, Sebastian Riedel, et al.*2017 · 435 citations*](https://md.research.elamur.ai/free/en/papers/augenstein-2017-semeval-2017-task-10-scienceie/)
22. [**SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours**Leon Derczynski, Kalina Bontcheva, Maria Liakata, et al.*2017 · 427 citations*](https://md.research.elamur.ai/free/en/papers/derczynski-2017-semeval-2017-task-8-rumoureval/)
23. [**KUISAIL at SemEval-2020 Task 12: BERT-CNN for Offensive Speech Identification in Social Media**Ali Safaya, Moutasem Abdullatif, Deniz Yuret*2020 · 409 citations*](https://md.research.elamur.ai/free/en/papers/safaya-2020-kuisail-semeval-2020-task-12/)
24. [**SemEval-2019 Task 3: EmoContext Contextual Emotion Detection in Text**Ankush Chatterjee, Kedhar Nath Narahari, Meghana Joshi, et al.*2019 · 409 citations*](https://md.research.elamur.ai/free/en/papers/chatterjee-2019-semeval-2019-task-3-emocontext/)
25. [**SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles**Giovanni Da San Martino, Alberto Barrón-Cedeño, Henning Wachsmuth, et al.*2020 · 371 citations*](https://md.research.elamur.ai/free/en/papers/martino-2020-semeval-2020-task-11-detection/)
26. [**SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection**Dominik Schlechtweg, Barbara McGillivray, Simon Hengchen, et al.*2020 · 351 citations*](https://md.research.elamur.ai/free/en/papers/schlechtweg-2020-semeval-2020-task-1-unsupervised/)
27. [**SemEval-2019 Task 4: Hyperpartisan News Detection**Johannes Kiesel, Maria Mestre, Rishabh Shukla, et al.*2019 · 335 citations*](https://md.research.elamur.ai/free/en/papers/kiesel-2019-semeval-2019-task-4-hyperpartisan/)
28. [**SemEval-2016 Task 3: Community Question Answering**Preslav Nakov, Lluís Màrquez, Alessandro Moschitti, et al.*2016 · 316 citations*](https://md.research.elamur.ai/free/en/papers/nakov-2016-semeval-2016-task-3-community/)
29. [**SemEval 2016 Task 11: Complex Word Identification**Gustavo Paetzold, Lucia Specia*2016 · 304 citations*](https://md.research.elamur.ai/free/en/papers/paetzold-2016-semeval-2016-task-11-complex/)
30. [**SemEval-2019 Task 7: RumourEval, Determining Rumour Veracity and Support for Rumours**Genevieve Gorrell, Elena Kochkina, Maria Liakata, et al.*2019 · 290 citations*](https://md.research.elamur.ai/free/en/papers/gorrell-2019-semeval-2019-task-7-rumoureval/)
31. [**SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations between Pairs of Nominals**Iris Hendrickx, Su Nam Kim, Zornitsa Kozareva, et al.*2010 · 283 citations*](https://md.research.elamur.ai/free/en/papers/hendrickx-2010-semeval-2010-task-8-multi/)
32. [**SemEval-2016 Task 12: Clinical TempEval**Steven Bethard, Guergana Savova, Wei-Te Chen, et al.*2016 · 263 citations*](https://md.research.elamur.ai/free/en/papers/bethard-2016-semeval-2016-task-12-clinical/)
33. [**SemEval-2020 Task 8: Memotion Analysis- the Visuo-Lingual Metaphor!**Chhavi Sharma, Deepesh Bhageria, William Scott, et al.*2020 · 260 citations*](https://md.research.elamur.ai/free/en/papers/sharma-2020-semeval-2020-task-8-memotion/)
34. [**NULI at SemEval-2019 Task 6: Transfer Learning for Offensive Language Detection using Bidirectional Transformers**Ping Liu, Wen Li, Liang Zou*2019 · 252 citations*](https://md.research.elamur.ai/free/en/papers/liu-2019-nuli-semeval-2019-task-6/)
35. [**SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets**Parth Patwa, Gustavo Aguilar, Sudipta Kar, et al.*2020 · 240 citations*](https://md.research.elamur.ai/free/en/papers/patwa-2020-semeval-2020-task-9-overview/)
36. [**SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification**Elisabetta Fersini, Francesca Gasparini, Giulia Rizzi, et al.*2022 · 234 citations*](https://md.research.elamur.ai/free/en/papers/fersini-2022-semeval-2022-task-5-multimedia/)
37. [**SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT)**Wei Xu, Chris Callison-Burch, Bill Dolan*2015 · 230 citations*](https://md.research.elamur.ai/free/en/papers/xu-2015-semeval-2015-task-1-paraphrase/)
38. [**MITRE at SemEval-2016 Task 6: Transfer Learning for Stance Detection**Guido Zarrella, Amy Marsh*2016 · 223 citations*](https://md.research.elamur.ai/free/en/papers/zarrella-2016-mitre-semeval-2016-task-6/)
39. [**SemEval-2010 Task 14: Word Sense Induction &Disambiguation**Suresh Manandhar, Ioannis Klapaftis, Dmitriy Dligach, et al.*2010 · 194 citations*](https://md.research.elamur.ai/free/en/papers/manandhar-2010-semeval-2010-task-14-word/)
40. [**SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER)**Shervin Malmasi, Anjie Fang, Besnik Fetahu, et al.*2022 · 190 citations*](https://md.research.elamur.ai/free/en/papers/malmasi-2022-semeval-2022-task-11-multilingual/)
41. [**SemEval-2023 Task 10: Explainable Detection of Online Sexism**Hannah Kirk, Wenjie Yin, Bertie Vidgen, et al.*2023 · 185 citations*](https://md.research.elamur.ai/free/en/papers/kirk-2023-semeval-2023-task-10-explainable/)
42. [**SemEval-2021 Task 5: Toxic Spans Detection**John Pavlopoulos, Jeffrey Sorensen, Léo Laugier, et al.*2021 · 172 citations*](https://md.research.elamur.ai/free/en/papers/pavlopoulos-2021-semeval-2021-task-5-toxic/)
43. [**SemEval-2021 Task 1: Lexical Complexity Prediction**Matthew Shardlow, Richard Evans, Gustavo Henrique Paetzold, et al.*2021 · 155 citations*](https://md.research.elamur.ai/free/en/papers/shardlow-2021-semeval-2021-task-1-lexical/)
44. [**pkudblab at SemEval-2016 Task 6 : A Specific Convolutional Neural Network System for Effective Stance Detection**Wan Wei, Xiao Zhang, Xuqin Liu, et al.*2016 · 155 citations*](https://md.research.elamur.ai/free/en/papers/wei-2016-pkudblab-semeval-2016-task-6/)
45. [**SemEval-2022 Task 6: iSarcasmEval, Intended Sarcasm Detection in English and Arabic**Ibrahim Abu Farha, Silviu Vlad Oprea, Steven Wilson, et al.*2022 · 146 citations*](https://md.research.elamur.ai/free/en/papers/farha-2022-semeval-2022-task-6-isarcasmeval/)
46. [**SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding**Harish Tayyar Madabushi, Edward Gow-Smith, Marcos Garcia, et al.*2022 · 108 citations*](https://md.research.elamur.ai/free/en/papers/madabushi-2022-semeval-2022-task-2-multilingual/)
47. [**SemEval-2016 Task 10: Detecting Minimal Semantic Units and their Meanings (DiMSUM)**Nathan Schneider, Dirk Hovy, Anders Johannsen, et al.*2016 · 100 citations*](https://md.research.elamur.ai/free/en/papers/schneider-2016-semeval-2016-task-10-detecting/)
48. [**CAMR at SemEval-2016 Task 8: An Extended Transition-based AMR Parser**Chuan Wang, Sameer Pradhan, Xiaoman Pan, et al.*2016 · 80 citations*](https://md.research.elamur.ai/free/en/papers/wang-2016-camr-semeval-2016-task-8/)
49. [**BART: A Multilingual Anaphora Resolution System**Samuel Broscheit, Massimo Poesio, Simone Paolo Ponzetto, et al.*2010 · 55 citations*](https://md.research.elamur.ai/free/en/papers/broscheit-2010-bart-multilingual-anaphora-resolution-system/)
50. [**WLV at SemEval-2018 Task 3: Dissecting Tweets in Search of Irony**Omid Rohanian, Shiva Taslimipoor, Richard Evans, et al.*2018 · 39 citations*](https://md.research.elamur.ai/free/en/papers/rohanian-2018-wlv-semeval-2018-task-3/)
51. [**UBIU: A Language-Independent System for Coreference Resolution**Desislava Zhekova, Sandra Kübler*2010 · 39 citations*](https://md.research.elamur.ai/free/en/papers/zhekova-2010-ubiu-language-independent-system-coreference/)
52. [**SUCRE: A Modular System for Coreference Resolution**Hamidreza Kobdani, Hinrich Schütze*2010 · 35 citations*](https://md.research.elamur.ai/free/en/papers/kobdani-2010-sucre-modular-system-coreference-resolution/)
53. [**SemEval-2025 Task 1: AdMIRe - Advancing Multimodal Idiomaticity Representation**Thomas Pickard, Aline Villavicencio, Maggie Mi, et al.*2025 · 30 citations*](https://md.research.elamur.ai/free/en/papers/pickard-2025-semeval-2025-task-1-admire/)
54. [**NLPRL-IITBHU at SemEval-2018 Task 3: Combining Linguistic Features and Emoji pre-trained CNN for Irony Detection in Tweets**Harsh Rangwani, Devang Kulshreshtha, Anil Kumar Singh*2018 · 28 citations*](https://md.research.elamur.ai/free/en/papers/rangwani-2018-nlprl-iitbhu-semeval-2018-task/)
55. [**TANL-1: Coreference Resolution by Parse Analysis and Similarity Clustering**Giuseppe Attardi, Maria Simi, Stefano Dei Rossi*2010 · 26 citations*](https://md.research.elamur.ai/free/en/papers/attardi-2010-tanl-1-coreference-resolution-parse/)
56. [**RelaxCor: A Global Relaxation Labeling Approach to Coreference Resolution**Emili Sapena, Lluís Padró, Jordi Turmo*2010 · 25 citations*](https://md.research.elamur.ai/free/en/papers/sapena-2010-relaxcor-global-relaxation-labeling-approach/)
57. [**SemEval-2026 Task 10: PsyCoMark – Psycholinguistic Conspiracy Marker Extraction and Detection**Mattia Samory, Felix Soldner, Veronika Batzdorfer*2026 · 20 citations*](https://md.research.elamur.ai/free/en/papers/samory-2026-semeval-2026-task-10-psycomark/)
58. [**RIGOTRIO at SemEval-2017 Task 9: Combining Machine Learning and Grammar Engineering for AMR Parsing and Generation**Normunds Gruzitis, Didzis Gosko, Guntis Barzdins*2017 · 19 citations*](https://md.research.elamur.ai/free/en/papers/gruzitis-2017-rigotrio-semeval-2017-task-9/)
59. [**X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm Detection**Yaqian Han, Yekun Chai, Shuohuan Wang, et al.*2022 · 15 citations*](https://md.research.elamur.ai/free/en/papers/han-2022-x-pudu-semeval-2022-task/)
60. [**CS-UM6P at SemEval-2022 Task 6: Transformer-based Models for Intended Sarcasm Detection in English and Arabic**Abdelkader El Mahdaouy, Abdellah El Mekki, Kabil Essefar, et al.*2022 · 11 citations*](https://md.research.elamur.ai/free/en/papers/mahdaouy-2022-cs-um6p-semeval-2022-task/)
61. [**Plumeria at SemEval-2022 Task 6: Sarcasm Detection for English and Arabic Using Transformers and Data Augmentation**Mosab Shaheen, Shubham Kumar Nigam*2022 · 10 citations*](https://md.research.elamur.ai/free/en/papers/shaheen-2022-plumeria-semeval-2022-task-6/)
62. [**THU_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTM**Chuhan Wu, Fangzhao Wu, Junxin Liu, et al.*2018 · 10 citations*](https://md.research.elamur.ai/free/en/papers/wu-2018-thu-ngn-semeval-2018-task/)
63. [**YNU-HPCC at SemEval-2022 Task 6: Transformer-based Model for Intended Sarcasm Detection in English and Arabic**Guangmin Zheng, Jin Wang, Xuejie Zhang*2022 · 9 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2022-ynu-hpcc-semeval-2022-task/)
64. [**SemEval-2022 Task 3: PreTENS — Evaluating Neural Networks on Presuppositional Semantic Knowledge**Roberto Zamparelli, Shammur Chowdhury, Dominique Brunato, et al.*2022 · 8 citations*](https://md.research.elamur.ai/free/en/papers/zamparelli-2022-semeval-2022-task-3-pretens/)
65. [**akaBERT at SemEval-2022 Task 6: An Ensemble Transformer-based Model for Arabic Sarcasm Detection**Abdulrahman Mohamed Kamr, Ensaf Mohamed*2022 · 7 citations*](https://md.research.elamur.ai/free/en/papers/kamr-2022-akabert-semeval-2022-task-6/)
66. [**MarSan at SemEval-2022 Task 6: iSarcasm Detection via T5 and Sequence Learners**Maryam Najafi, Ehsan Tavan*2022 · 7 citations*](https://md.research.elamur.ai/free/en/papers/najafi-2022-marsan-semeval-2022-task-6/)
67. [**UoR-NCL at SemEval-2022 Task 6: Using ensemble loss with BERT for intended sarcasm detection**Emmanuel Osei-Brefo, Huizhi Liang*2022 · 4 citations*](https://md.research.elamur.ai/free/en/papers/brefo-2022-uor-ncl-semeval-2022-task/)
68. [**AlexU-AL at SemEval-2022 Task 6: Detecting Sarcasm in Arabic Text Using Deep Learning Techniques**Aya Lotfy, Marwan Torki, Nagwa El-Makky*2022 · 3 citations*](https://md.research.elamur.ai/free/en/papers/lotfy-2022-alexu-al-semeval-2022-task/)
69. [**SarcasmDet at SemEval-2022 Task 6: Detecting Sarcasm using Pre-trained Transformers in English and Arabic Languages**Malak Abdullah, Dalya Alnore, Safa Swedat, et al.*2022 · 2 citations*](https://md.research.elamur.ai/free/en/papers/abdullah-2022-sarcasmdet-semeval-2022-task-6/)
70. [**High Tech team at SemEval-2022 Task 6: Intended Sarcasm Detection for Arabic texts**Hamza Alami, Abdessamad Benlahbib, Ahmed Alami*2022 · 2 citations*](https://md.research.elamur.ai/free/en/papers/alami-2022-high-tech-team-semeval-2022/)
71. [**Dartmouth at SemEval-2022 Task 6: Detection of Sarcasm**Rishik Lad, Weicheng Ma, Soroush Vosoughi*2022 · 2 citations*](https://md.research.elamur.ai/free/en/papers/lad-2022-dartmouth-semeval-2022-task-6/)
72. [**FII UAIC at SemEval-2022 Task 6: iSarcasmEval - Intended Sarcasm Detection in English and Arabic**Tudor Manoleasa, Daniela Gifu, Iustin Sandu*2022 · 2 citations*](https://md.research.elamur.ai/free/en/papers/manoleasa-2022-fii-uaic-semeval-2022-task/)
73. [**GIL-Zaragoza at SemEval 2026 Task 11: Comparing Classification, Autoformalization, and Ontologies for Formal Reasoning Capabilities**Francisco Lopez-Ponce, Lucia Pitarch, Iván Saavedra Martínez, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/ponce-2026-gil-zaragoza-semeval-2026-task/)
74. [**BFCAI at SemEval-2022 Task 6: Multi-Layer Perceptron for Sarcasm Detection in Arabic Texts**Nsrin Ashraf, Fathy Elkazzaz, Mohamed Taha, et al.*2022 · 1 citation*](https://md.research.elamur.ai/free/en/papers/ashraf-2022-bfcai-semeval-2022-task-6/)
75. [**JCT at SemEval-2022 Task 6-A: Sarcasm Detection in Tweets Written in English and Arabic using Preprocessing Methods and Word N-grams**Yaakov HaCohen-Kerner, Matan Fchima, Ilan Meyrowitsch*2022 · 1 citation*](https://md.research.elamur.ai/free/en/papers/kerner-2022-jct-semeval-2022-task-6/)
76. [**MRS at SemEval-2025 Task 11: A Hybrid Approach for Bridging the Gap in Text-Based Emotion Detection**Milad Afshari, Richard Frost, Samantha Kissel, et al.*2025*](https://md.research.elamur.ai/free/en/papers/afshari-2025-mrs-semeval-2025-task-11/)
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