Papers
112 papers found
LomonosovMSU at SemEval-2024 Task 4: Comparing LLMs and embedder models to identifying propaganda techniques in the content of memes in English for subtasks No1, No2a, and No2b
Gleb Skiba, Mikhail Pukemo, Dmitry Melikhov et al.
LomonosovMSU at SemEval-2024 Task 4: Comparing LLMs and embedder models to identifying propaganda techniques in the content of memes in English for subtasks No1, No2a, and No2b
Gleb Skiba, Mikhail Pukemo, Dmitry Melikhov et al.
The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes
Douwe Kiela, Hamed Firooz, Aravind Mohan et al.
Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset
Hannah Kirk, Yennie Jun, Paulius Rauba et al.
Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset
Hannah Kirk, Yennie Jun, Paulius Rauba et al.
What Do You MEME? Generating Explanations for Visual Semantic Role Labelling in Memes
Shivam Sharma, Siddhant Agarwal, Tharun Suresh et al.
Detecting Propaganda Techniques in Memes
Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar et al.
Findings of the CONSTRAINT 2022 Shared Task on Detecting the Hero, the Villain, and the Victim in Memes
Shivam Sharma, Tharun Suresh, Atharva Kulkarni et al.
“Female Astronaut: Because sandwiches won’t make themselves up there”: Towards Multimodal misogyny detection in memes
Smriti Singh, Amritha Haridasan, Raymond Mooney
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.
A Multimodal Framework to Detect Target Aware Aggression in Memes
Shawly Ahsan, Eftekhar Hossain, Omar Sharif et al.
MemeCap: A Dataset for Captioning and Interpreting Memes
EunJeong Hwang, Vered Shwartz
What Media Frames Reveal About Stance: A Dataset and Study about Memes in Climate Change Discourse
Shijia Zhou, Siyao Peng, Simon M. Luebke et al.
Detecting Propaganda Techniques in Memes
Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar 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
UniBO at SemEval-2022 Task 5: A Multimodal bi-Transformer Approach to the Binary and Fine-grained Identification of Misogyny in Memes
Arianna Muti, Katerina Korre, Alberto Barrón-Cedeño
I2C at SemEval-2022 Task 5: Identification of misogyny in internet memes
Pablo Cordon, Pablo Gonzalez Diaz, Jacinto Mata et al.
YMAI at SemEval-2022 Task 5: Detecting Misogyny in Memes using VisualBERT and MMBT MultiModal Pre-trained Models
Mohammad Habash, Yahya Daqour, Malak Abdullah et al.