3 citations · 7 across the 6 of their papers we have counts for
6 papers
Getting Serious about Humor: Crafting Humor Datasets with Unfunny Large Language Models
Zachary Horvitz, Jingru Chen, Rahul Aditya +4
Humor is a fundamental facet of human cognition and interaction. Yet, despite recent advances in natural language processing, humor detection remains a challenging task that is com…
Misogynistic Meme Detection using Early Fusion Model with Graph Network
Harshvardhan Srivastava
In recent years , there has been an upsurge in a new form of entertainment medium called memes. These memes although seemingly innocuous have transcended onto the boundary of onlin…
Zero Shot Crosslingual Eye-Tracking Data Prediction using Multilingual Transformer Models
Harshvardhan Srivastava
Eye tracking data during reading is a useful source of information to understand the cognitive processes that take place during language comprehension processes. Different language…
M-MELD: A Multilingual Multi-Party Dataset for Emotion Recognition in Conversations
Sreyan Ghosh, S Ramaneswaran, Utkarsh Tyagi +4
Expression of emotions is a crucial part of daily human communication. Emotion recognition in conversations (ERC) is an emerging field of study, where the primary task is to identi…
MMER: Multimodal Multi-task Learning for Speech Emotion Recognition
Sreyan Ghosh, Utkarsh Tyagi, S Ramaneswaran +2
In this paper, we propose MMER, a novel Multimodal Multi-task learning approach for Speech Emotion Recognition. MMER leverages a novel multimodal network based on early-fusion and…
IIT_kgp at FinCausal 2020, Shared Task 1: Causality Detection using Sentence Embeddings in Financial Reports
Arka Mitra, Harshvardhan Srivastava, Yugam Tiwari
The paper describes the work that the team submitted to FinCausal 2020 Shared Task. This work is associated with the first sub-task of identifying causality in sentences. The vario…