79 citations · 135 across the 34 of their papers we have counts for
9 papers · 2 filters
Nice perfume. How long did you marinate in it? Multimodal Sarcasm Explanation
Poorav Desai, Tanmoy Chakraborty, Md Shad Akhtar
Sarcasm is a pervading linguistic phenomenon and highly challenging to explain due to its subjectivity, lack of context and deeply-felt opinion. In the multimodal setup, sarcasm is…
Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations
Ganeshan Malhotra, Abdul Waheed, Aseem Srivastava +2
The onset of the COVID-19 pandemic has brought the mental health of people under risk. Social counselling has gained remarkable significance in this environment. Unlike general goa…
Detecting Harmful Memes and Their Targets
Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee +4
Among the various modes of communication in social media, the use of Internet memes has emerged as a powerful means to convey political, psychological, and socio-cultural opinions.…
DESYR: Definition and Syntactic Representation Based Claim Detection on the Web
Megha Sundriyal, Parantak Singh, Md Shad Akhtar +2
The formulation of a claim rests at the core of argument mining. To demarcate between a claim and a non-claim is arduous for both humans and machines, owing to latent linguistic va…
Multi-modal Sarcasm Detection and Humor Classification in Code-mixed Conversations
Manjot Bedi, Shivani Kumar, Md Shad Akhtar +1
Sarcasm detection and humor classification are inherently subtle problems, primarily due to their dependence on the contextual and non-verbal information. Furthermore, existing stu…
HIT: A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation
Ayan Sengupta, Sourabh Kumar Bhattacharjee, Tanmoy Chakraborty +1
Understanding linguistics and morphology of resource-scarce code-mixed texts remains a key challenge in text processing. Although word embedding comes in handy to support downstrea…