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ORCIDDE-FACTIFY@AAAI 2023: Washington, DC, USA
- Amitava Das, Amit P. Sheth, Asif Ekbal:
Proceedings of De-Factify 2: 2nd Workshop on Multimodal Fact Checking and Hate Speech Detection, co-located with AAAI 2023, Washington DC, USA, February 14, 2023. CEUR Workshop Proceedings 3555, CEUR-WS.org 2023
Session 1
- Jan Kocon, Joanna Baran, Kamil Kanclerz:
Multi-Modal Personalized Hate Speech Analysis using Differential Dataset Cartography. - Matyás Bohácek, Michal Bravansky, Filip Trhlík, Václav Moravec:
Fine-grained Czech News Article Dataset: An Interdisciplinary Approach to Trustworthiness Analysis.
Session 2
- Shreyash Mishra, S. Suryavardan, Parth Patwa, Megha Chakraborty, Anku Rani, Aishwarya Naresh Reganti, Aman Chadha, Amitava Das, Amit P. Sheth, Manoj Chinnakotla, Asif Ekbal, Srijan Kumar:
Memotion 3: Dataset on sentiment and emotion analysis of codemixed Hindi-English Memes. - Shreyash Mishra, S. Suryavardan, Megha Chakraborty, Parth Patwa, Anku Rani, Aman Chadha, Aishwarya Naresh Reganti, Amitava Das, Amit P. Sheth, Manoj Chinnakotla, Asif Ekbal, Srijan Kumar:
Overview of Memotion 3: Sentiment and Emotion Analysis of Codemixed Hinglish Memes. - Wentao Yu, Dorothea Kolossa:
wentaorub at Memotion 3: Ensemble learning for Multi-modal MEME classification (short paper). - Yu-Chien Tang, Kuang-Da Wang, Ting-Yun Ou, Wen-Chih Peng:
NYCU-TWO at Memotion 3: Good Foundation, Good Teacher, then you have Good Meme Analysis. - Xiaoyu Guo, Jing Ma, Arkaitz Zubiaga:
NUAA-QMUL-AIIT at Memotion 3: Multi-modal Fusion with Squeeze-and-Excitation for Internet Meme Emotion Analysis.
Session 3
- S. Suryavardan, Shreyash Mishra, Parth Patwa, Megha Chakraborty, Anku Rani, Aishwarya Naresh Reganti, Aman Chadha, Amitava Das, Amit P. Sheth, Manoj Chinnakotla, Asif Ekbal, Srijan Kumar:
Factify 2: A multimodal fake news and satire news dataset. - S. Suryavardan, Shreyash Mishra, Megha Chakraborty, Parth Patwa, Anku Rani, Aman Chadha, Aishwarya Naresh Reganti, Amitava Das, Amit P. Sheth, Manoj Chinnakotla, Asif Ekbal, Srijan Kumar:
Findings of factify 2: multimodal fake news detection. - Wei-Wei Du, Hong-Wei Wu, Wei-Yao Wang, Wen-Chih Peng:
Team Triple-Check at Factify 2: Parameter-Efficient Large Foundation Models with Feature Representations for Multi-Modal Fact Verification. - Yinuo Zhang, Zhulin Tao, Xi Wang, Tongyue Wang:
INO at Factify 2: Structure Coherence based Multi-Modal Fact Verification. - Zhongjian Zhang, Huabin Yang, Chenghao Huang, Yanru Zhang:
Team Noir at Factify 2: Multimodal Fake News Detection with Pre-trained CLIP and Fusion Network. - Pim Jordi Verschuuren, Jie Gao, Adelize van Eeden, Stylianos Oikonomou, Anil Bandhakavi:
Logically at Factify 2: A Multi-Modal Fact Checking System Based on Evidence Retrieval techniques and Transformer Encoder Architecture. - Fanrui Zhang, Qiang Zhang, Jiawei Liu, Esther Sun:
Team Zhang at Factify 2: Unimodal Feature-enhanced and Cross-modal Correlation learning for Multi-Modal Fact Verification. - Kangshuai Guo, Shichao Luo, Ruipeng Ma, Yan Wang, Yanru Zhang:
Team coco at Factify 2: Optimizing Modality Representation and Multimodal Fusion for Multimodal Fact Verification. - Zhenwei Gao, Tong Chen, Zheng Wang:
Team gzw at Factify 2: Multimodal Attention and Fusion Networks for Multi-Modal Fact Verification.
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