1.2k citations · 1.7k across the 29 of their papers we have counts for
6 papers · 1 filter
Recognizing Emotion Cause in Conversations
Soujanya Poria, Navonil Majumder, Devamanyu Hazarika +9
We address the problem of recognizing emotion cause in conversations, define two novel sub-tasks of this problem, and provide a corresponding dialogue-level dataset, along with str…
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…
Multimodal Research in Vision and Language: A Review of Current and Emerging Trends
Shagun Uppal, Sarthak Bhagat, Devamanyu Hazarika +4
Deep Learning and its applications have cascaded impactful research and development with a diverse range of modalities present in the real-world data. More recently, this has enhan…
KinGDOM: Knowledge-Guided DOMain adaptation for sentiment analysis
Deepanway Ghosal, Devamanyu Hazarika, Abhinaba Roy +3
Cross-domain sentiment analysis has received significant attention in recent years, prompted by the need to combat the domain gap between different applications that make use of se…
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…
Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research
Soujanya Poria, Devamanyu Hazarika, Navonil Majumder +1
Sentiment analysis as a field has come a long way since it was first introduced as a task nearly 20 years ago. It has widespread commercial applications in various domains like mar…