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Found 7 papers, 2 papers with code
Findings of the CONSTRAINT 2022 Shared Task on Detecting the Hero, the Villain, and the Victim in Memes
We present the findings of the shared task at the CONSTRAINT 2022 Workshop: Hero, Villain, and Victim: Dissecting harmful memes for Semantic role labeling of entities.
Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim?
A common problem associated with meme comprehension lies in detecting the entities referenced and characterizing the role of each of these entities.
What do you MEME? Generating Explanations for Visual Semantic Role Labelling in Memes
Here, we introduce a novel task - EXCLAIM, generating explanations for visual semantic role labeling in memes.
Predicting Hate Intensity of Twitter Conversation Threads
Tweets are the most concise form of communication in online social media, wherein a single tweet has the potential to make or break the discourse of the conversation.
Counseling Summarization using Mental Health Knowledge Guided Utterance Filtering
A structured counseling conversation may contain discussions about symptoms, history of mental health issues, or the discovery of the patient's behavior.
A Comprehensive Understanding of Code-mixed Language Semantics using Hierarchical Transformer
Learning the semantics and morphology of code-mixed language remains a key challenge, due to scarcity of data and unavailability of robust and language-invariant representation learning technique.
Handling Bias in Toxic Speech Detection: A Survey
While reducing toxicity on online platforms continues to be an active area of research, a systematic study of various biases and their mitigation strategies will help the research community produce robust and fair models.
