Papers
112 papers found
BDA at SemEval-2024 Task 4: Detection of Persuasion in Memes Across Languages with Ensemble Learning and External Knowledge
Victoria Sherratt, Sedat Dogan, Ifeoluwa Wuraola et al.
CLaC at SemEval-2024 Task 4: Decoding Persuasion in Memes – An Ensemble of Language Models with Paraphrase Augmentation
Kota Shamanth Ramanath Nayak, Leila Kosseim
DUTIR938 at SemEval-2024 Task 4: Semi-Supervised Learning and Model Ensemble for Persuasion Techniques Detection in Memes
Erchen Yu, Junlong Wang, Xuening Qiao et al.
UMUTeam at SemEval-2024 Task 4: Multimodal Identification of Persuasive Techniques in Memes through Large Language Models
Ronghao Pan, José Antonio García-díaz, Rafael Valencia-garcía
Magnum JUCSE at SemEval-2024 Task 4: Multilingual Detection of Persuasion Techniques in Memes
Adnan Khurshid, Dipankar Das
IUSTNLPLAB at SemEval-2024 Task 4: Multilingual Detection of Persuasion Techniques in Memes
Mohammad Osoolian, Erfan Moosavi Monazzah, Sauleh Eetemadi
BCAmirs at SemEval-2024 Task 4: Beyond Words: A Multimodal and Multilingual Exploration of Persuasion in Memes
Amirhossein Abaskohi, Amirhossein Dabiriaghdam, Lele Wang et al.
Pauk at SemEval-2024 Task 4: A Neuro-Symbolic Method for Consistent Classification of Propaganda Techniques in Memes
Matt Pauk, Maria Leonor Pacheco
HierarchyEverywhere at SemEval-2024 Task 4: Detection of Persuasion Techniques in Memes Using Hierarchical Text Classifier
Omid Ghahroodi, Ehsaneddin Asgari
IITK at SemEval-2024 Task 4: Hierarchical Embeddings for Detection of Persuasion Techniques in Memes
Shreenaga Chikoti, Shrey Mehta, Ashutosh Modi
SemEval-2024 Task 4: Multilingual Detection of Persuasion Techniques in Memes
Dimitar Dimitrov, Firoj Alam, Maram Hasanain et al.
SheffieldVeraAI at SemEval-2024 Task 4: Prompting and fine-tuning a Large Vision-Language Model for Binary Classification of Persuasion Techniques in Memes
Charlie Grimshaw, Kalina Bontcheva, Xingyi Song
HerWILL@DravidianLangTech 2025: Ensemble Approach for Misogyny Detection in Memes Using Pre-trained Text and Vision Transformers
Neelima Monjusha Preeti, Trina Chakraborty, Noor Mairukh Khan Arnob et al.
CUET_Novice@DravidianLangTech 2025: A Multimodal Transformer-Based Approach for Detecting Misogynistic Memes in Malayalam Language
Khadiza Sultana Sayma, Farjana Alam Tofa, Md Osama et al.
Guoym at SemEval-2020 Task 8: Ensemble-based Classification of Visuo-Lingual Metaphor in Memes
Yingmei Guo, Jinfa Huang, Yanlong Dong et al.
IITK at SemEval-2020 Task 8: Unimodal and Bimodal Sentiment Analysis of Internet Memes
Vishal Keswani, Sakshi Singh, Suryansh Agarwal et al.
KAFK at SemEval-2020 Task 8: Extracting Features from Pre-trained Neural Networks to Classify Internet Memes
Kaushik Amar Das, Arup Baruah, Ferdous Ahmed Barbhuiya et al.
PAIC at SemEval-2022 Task 5: Multi-Modal Misogynous Detection in MEMES with Multi-Task Learning And Multi-model Fusion
Jin Zhi, Zhou Mengyuan, Mengfei Yuan et al.
UAEM-ITAM at SemEval-2022 Task 5: Vision-Language Approach to Recognize Misogynous Content in Memes
Edgar Roman-Rangel, Jorge Fuentes-Pacheco, Jorge Hermosillo Valadez
JRLV at SemEval-2022 Task 5: The Importance of Visual Elements for Misogyny Identification in Memes
Jason Ravagli, Lorenzo Vaiani