30 citations · 146 across the 15 of their papers we have counts for
10 papers · 1 filter
Analyzing Modality Robustness in Multimodal Sentiment Analysis
Devamanyu Hazarika, Yingting Li, Bo Cheng +3
Building robust multimodal models are crucial for achieving reliable deployment in the wild. Despite its importance, less attention has been paid to identifying and improving the r…
So Different Yet So Alike! Constrained Unsupervised Text Style Transfer
Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan +2
Automatic transfer of text between domains has become popular in recent times. One of its aims is to preserve the semantic content of text being translated from source to target do…
Towards Modelling Coherence in Spoken Discourse
Rajaswa Patil, Yaman Kumar Singla, Rajiv Ratn Shah +2
While there has been significant progress towards modelling coherence in written discourse, the work in modelling spoken discourse coherence has been quite limited. Unlike the cohe…
Domain Divergences: a Survey and Empirical Analysis
Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan +1
Domain divergence plays a significant role in estimating the performance of a model in new domains. While there is a significant literature on divergence measures, researchers find…
"Notic My Speech" -- Blending Speech Patterns With Multimedia
Dhruva Sahrawat, Yaman Kumar, Shashwat Aggarwal +3
Speech as a natural signal is composed of three parts - visemes (visual part of speech), phonemes (spoken part of speech), and language (the imposed structure). However, video as a…
MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis
Devamanyu Hazarika, Roger Zimmermann, Soujanya Poria
Multimodal Sentiment Analysis is an active area of research that leverages multimodal signals for affective understanding of user-generated videos. The predominant approach, addres…