Papers
112 papers found
Quartet@LT-EDI 2024: A SVM-ResNet50 Approach For Multitask Meme Classification - Unraveling Misogynistic and Trolls in Online Memes
Shaun H, Samyuktaa Sivakumar, Rohan R et al.
ArMeme: Propagandistic Content in Arabic Memes
Firoj Alam, Abul Hasnat, Fatema Ahmad et al.
TeamOtter at SemEval-2022 Task 5: Detecting Misogynistic Content in Multimodal Memes
Paridhi Maheshwari, Sharmila Reddy Nangi
nowhash at SemEval-2024 Task 4: Exploiting Fusion of Transformers for Detecting Persuasion Techniques in Multilingual Memes
Abu Nowhash Chowdhury, Michal Ptaszynski
SuteAlbastre at SemEval-2024 Task 4: Predicting Propaganda Techniques in Multilingual Memes using Joint Text and Vision Transformers
Ion Anghelina, Gabriel Buță, Alexandru Enache
TeamOtter at SemEval-2022 Task 5: Detecting Misogynistic Content in Multimodal Memes
Paridhi Maheshwari, Sharmila Reddy Nangi
nowhash at SemEval-2024 Task 4: Exploiting Fusion of Transformers for Detecting Persuasion Techniques in Multilingual Memes
Abu Nowhash Chowdhury, Michal Ptaszynski
SuteAlbastre at SemEval-2024 Task 4: Predicting Propaganda Techniques in Multilingual Memes using Joint Text and Vision Transformers
Ion Anghelina, Gabriel Buță, Alexandru Enache
VL-BERT+: Detecting Protected Groups in Hateful Multimodal Memes
Piush Aggarwal, Michelle Espranita Liman, Darina Gold et al.
SEMANTIFY: Unveiling Memes with Robust Interpretability beyond Input Attribution
Dibyanayan Bandyopadhyay, Asmit Ganguly, Baban Gain et al.
VL-BERT+: Detecting Protected Groups in Hateful Multimodal Memes
Piush Aggarwal, Michelle Espranita Liman, Darina Gold et al.
Learning to Evaluate Humor in Memes Based on the Incongruity Theory
Kohtaro Tanaka, Hiroaki Yamane, Yusuke Mori et al.
FigMemes: A Dataset for Figurative Language Identification in Politically-Opinionated Memes
Chen Liu, Gregor Geigle, Robin Krebs et al.
Fired_from_NLP@DravidianLangTech 2025: A Multimodal Approach for Detecting Misogynistic Content in Tamil and Malayalam Memes
Md. Sajid Alam Chowdhury, Mostak Mahmud Chowdhury, Anik Mahmud Shanto et al.
Combining Language Models and Linguistic Information to Label Entities in Memes
Pranaydeep Singh, Aaron Maladry, Els Lefever
MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing
Siddhant Agarwal, Shivam Sharma, Preslav Nakov et al.
Social Meme-ing: Measuring Linguistic Variation in Memes
Naitian Zhou, David Jurgens, David Bamman
Just KIDDIN’ : Knowledge Infusion and Distillation for Detection of INdecent Memes
Rahul Garg, Trilok Padhi, Hemang Jain et al.
Meme-ingful Analysis: Enhanced Understanding of Cyberbullying in Memes Through Multimodal Explanations
Prince Jha, Krishanu Maity, Raghav Jain et al.
CUET-NLP@DravidianLangTech-ACL2022: Investigating Deep Learning Techniques to Detect Multimodal Troll Memes
Md Hasan, Nusratul Jannat, Eftekhar Hossain et al.
Detecting Hate Speech in Amharic Using Multimodal Analysis of Social Media Memes
Melese Ayichlie Jigar, Abinew Ali Ayele, Seid Muhie Yimam et al.
From Laughter to Inequality: Annotated Dataset for Misogyny Detection in Tamil and Malayalam Memes
Rahul Ponnusamy, Kathiravan Pannerselvam, Saranya Rajiakodi et al.
DD-TIG at SemEval-2022 Task 5: Investigating the Relationships Between Multimodal and Unimodal Information in Misogynous Memes Detection and Classification
Ziming Zhou, Han Zhao, Jingjing Dong et al.