273 citations · 441 across the 37 of their papers we have counts for
10 papers · 1 filter
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.…
MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets
Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov +3
Internet memes have become powerful means to transmit political, psychological, and socio-cultural ideas. Although memes are typically humorous, recent days have witnessed an escal…
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…
Exercise? I thought you said 'Extra Fries': Leveraging Sentence Demarcations and Multi-hop Attention for Meme Affect Analysis
Shraman Pramanick, Md Shad Akhtar, Tanmoy Chakraborty
Today's Internet is awash in memes as they are humorous, satirical, or ironic which make people laugh. According to a survey, 33% of social media users in age bracket [13-35] send…
Discovering Emotion and Reasoning its Flip in Multi-Party Conversations using Masked Memory Network and Transformer
Shivani Kumar, Anubhav Shrimal, Md Shad Akhtar +1
Efficient discovery of a speaker's emotional states in a multi-party conversation is significant to design human-like conversational agents. During a conversation, the cognitive st…
LESA: Linguistic Encapsulation and Semantic Amalgamation Based Generalised Claim Detection from Online Content
Shreya Gupta, Parantak Singh, Megha Sundriyal +2
The conceptualization of a claim lies at the core of argument mining. The segregation of claims is complex, owing to the divergence in textual syntax and context across different d…