Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Dimitar Dimitrov

Dimitar Dimitrov
Alert button

Detecting and Understanding Harmful Memes: A Survey


May 09, 2022
Shivam Sharma, Firoj Alam, Md. Shad Akhtar, Dimitar Dimitrov, Giovanni Da San Martino, Hamed Firooz, Alon Halevy, Fabrizio Silvestri, Preslav Nakov, Tanmoy Chakraborty

Add code
Alert button

Figure 1 for Detecting and Understanding Harmful Memes: A Survey
Figure 2 for Detecting and Understanding Harmful Memes: A Survey
Figure 3 for Detecting and Understanding Harmful Memes: A Survey
* Accepted at IJCAI-ECAI 2022 (Survey Track) 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Detecting Harmful Memes and Their Targets


Sep 24, 2021
Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee, Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty

Add code
Alert button

Figure 1 for Detecting Harmful Memes and Their Targets
Figure 2 for Detecting Harmful Memes and Their Targets
Figure 3 for Detecting Harmful Memes and Their Targets
Figure 4 for Detecting Harmful Memes and Their Targets
* ACL-2021 (Findings) 
 * harmful memes, multimodality, social media 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets


Sep 22, 2021
Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov, Md Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty

Add code
Alert button

Figure 1 for MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets
Figure 2 for MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets
Figure 3 for MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets
Figure 4 for MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets
* The paper has been accepted in the Findings of Empirical Methods in Natural Language Processing (EMNLP), 2021 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images


Apr 25, 2021
Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino

Add code
Alert button

Figure 1 for SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images
Figure 2 for SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images
Figure 3 for SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images
Figure 4 for SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images
* SemEval-2021 
 * propaganda, disinformation, misinformation, fake news, memes, multimodality 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

A Mixed Initiative Semantic Web Framework for Process Composition


Jun 03, 2020
Jinghai Rao, Dimitar Dimitrov, Paul Hofmann, Norman Sadeh

Add code
Alert button

Figure 1 for A Mixed Initiative Semantic Web Framework for Process Composition
Figure 2 for A Mixed Initiative Semantic Web Framework for Process Composition
Figure 3 for A Mixed Initiative Semantic Web Framework for Process Composition
Figure 4 for A Mixed Initiative Semantic Web Framework for Process Composition
* IEEE International Semantic Web Conference 2006, 873-886, Springer, Berlin, Heidelberg 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email