273 citations · 441 across the 37 of their papers we have counts for
38 papers
COILD: An Indic-Centric Parallel Corpus and Benchmark for Machine Translation Across Indian Languages
Kshetrimayum Boynao Singh, Nitin Kumar Mishra, Palash Pratim Dutta +22
Machine translation (MT) for Indian languages remains constrained by the limited availability of high-quality, Indic-centric parallel corpora and evaluation benchmarks. Existing mu…
Leveraging Social Discourse to Measure Check-worthiness of Claims for Fact-checking
Megha Sundriyal, Md Shad Akhtar, Tanmoy Chakraborty
The expansion of online social media platforms has led to a surge in online content consumption. However, this has also paved the way for disseminating false claims and misinformat…
Critical Behavioral Traits Foster Peer Engagement in Online Mental Health Communities
Aseem Srivastava, Tanya Gupta, Alison Cerezo +4
Online Mental Health Communities (OMHCs), such as Reddit, have witnessed a surge in popularity as go-to platforms for seeking information and support in managing mental health need…
Persona-aware Generative Model for Code-mixed Language
Ayan Sengupta, Md Shad Akhtar, Tanmoy Chakraborty
Code-mixing and script-mixing are prevalent across online social networks and multilingual societies. However, a user's preference toward code-mixing depends on the socioeconomic s…
Emotion Flip Reasoning in Multiparty Conversations
Shivani Kumar, Shubham Dudeja, Md Shad Akhtar +1
In a conversational dialogue, speakers may have different emotional states and their dynamics play an important role in understanding dialogue's emotional discourse. However, simpl…
MEMEX: Detecting Explanatory Evidence for Memes via Knowledge-Enriched Contextualization
Shivam Sharma, Ramaneswaran S, Udit Arora +2
Memes are a powerful tool for communication over social media. Their affinity for evolving across politics, history, and sociocultural phenomena makes them an ideal communication v…
Counterspeeches up my sleeve! Intent Distribution Learning and Persistent Fusion for Intent-Conditioned Counterspeech Generation
Rishabh Gupta, Shaily Desai, Manvi Goel +3
Counterspeech has been demonstrated to be an efficacious approach for combating hate speech. While various conventional and controlled approaches have been studied in recent years…
Speaker Profiling in Multiparty Conversations
Shivani Kumar, Rishabh Gupta, Md Shad Akhtar +1
In conversational settings, individuals exhibit unique behaviors, rendering a one-size-fits-all approach insufficient for generating responses by dialogue agents. Although past stu…
Response-act Guided Reinforced Dialogue Generation for Mental Health Counseling
Aseem Srivastava, Ishan Pandey, Md. Shad Akhtar +1
Virtual Mental Health Assistants (VMHAs) have become a prevalent method for receiving mental health counseling in the digital healthcare space. An assistive counseling conversation…
Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim?
Shivam Sharma, Atharva Kulkarni, Tharun Suresh +4
Memes can sway people's opinions over social media as they combine visual and textual information in an easy-to-consume manner. Since memes instantly turn viral, it becomes crucial…
What do you MEME? Generating Explanations for Visual Semantic Role Labelling in Memes
Shivam Sharma, Siddhant Agarwal, Tharun Suresh +3
Memes are powerful means for effective communication on social media. Their effortless amalgamation of viral visuals and compelling messages can have far-reaching implications with…
Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal Dialogues
Shivani Kumar, Ishani Mondal, Md Shad Akhtar +1
Conversations emerge as the primary media for exchanging ideas and conceptions. From the listener's perspective, identifying various affective qualities, such as sarcasm, humour, a…
Empowering the Fact-checkers! Automatic Identification of Claim Spans on Twitter
Megha Sundriyal, Atharva Kulkarni, Vaibhav Pulastya +2
The widespread diffusion of medical and political claims in the wake of COVID-19 has led to a voluminous rise in misinformation and fake news. The current vogue is to employ manual…
Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classification
Karish Grover, S. M. Phaneendra Angara, Md. Shad Akhtar +1
Social media has become the fulcrum of all forms of communication. Classifying social texts such as fake news, rumour, sarcasm, etc. has gained significant attention. The surface-l…
Domain-aware Self-supervised Pre-training for Label-Efficient Meme Analysis
Shivam Sharma, Mohd Khizir Siddiqui, Md. Shad Akhtar +1
Existing self-supervised learning strategies are constrained to either a limited set of objectives or generic downstream tasks that predominantly target uni-modal applications. Thi…
Auxiliary Task Guided Interactive Attention Model for Question Difficulty Prediction
Venktesh V, Md. Shad Akhtar, Mukesh Mohania +1
Online learning platforms conduct exams to evaluate the learners in a monotonous way, where the questions in the database may be classified into Bloom's Taxonomy as varying levels…
Proactively Reducing the Hate Intensity of Online Posts via Hate Speech Normalization
Sarah Masud, Manjot Bedi, Mohammad Aflah Khan +2
Curbing online hate speech has become the need of the hour; however, a blanket ban on such activities is infeasible for several geopolitical and cultural reasons. To reduce the sev…
Counseling Summarization using Mental Health Knowledge Guided Utterance Filtering
Aseem Srivastava, Tharun Suresh, Sarah Peregrine +3
The psychotherapy intervention technique is a multifaceted conversation between a therapist and a patient. Unlike general clinical discussions, psychotherapy's core components (viz…
Detecting and Understanding Harmful Memes: A Survey
Shivam Sharma, Firoj Alam, Md. Shad Akhtar +7
The automatic identification of harmful content online is of major concern for social media platforms, policymakers, and society. Researchers have studied textual, visual, and audi…
DISARM: Detecting the Victims Targeted by Harmful Memes
Shivam Sharma, Md. Shad Akhtar, Preslav Nakov +1
Internet memes have emerged as an increasingly popular means of communication on the Web. Although typically intended to elicit humour, they have been increasingly used to spread h…
A Comprehensive Understanding of Code-mixed Language Semantics using Hierarchical Transformer
Ayan Sengupta, Tharun Suresh, Md Shad Akhtar +1
Being a popular mode of text-based communication in multilingual communities, code-mixing in online social media has became an important subject to study. Learning the semantics an…
Detecting Anchors' Opinion in Hinghlish News Delivery
Siddharth Sadhwani, Nishant Grover, Md Akhtar +1
Humans like to express their opinions and crave the opinions of others. Mining and detecting opinions from various sources are beneficial to individuals, organisations, and even go…
When did you become so smart, oh wise one?! Sarcasm Explanation in Multi-modal Multi-party Dialogues
Shivani Kumar, Atharva Kulkarni, Md Shad Akhtar +1
Indirect speech such as sarcasm achieves a constellation of discourse goals in human communication. While the indirectness of figurative language warrants speakers to achieve certa…
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…