57 citations · 151 across the 9 of their papers we have counts for
23 papers
Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment Analysis
Wei Han, Hui Chen, Alexander Gelbukh +3
Multimodal sentiment analysis aims to extract and integrate semantic information collected from multiple modalities to recognize the expressed emotions and sentiment in multimodal…
M2H2: A Multimodal Multiparty Hindi Dataset For Humor Recognition in Conversations
Dushyant Singh Chauhan, Gopendra Vikram Singh, Navonil Majumder +5
Humor recognition in conversations is a challenging task that has recently gained popularity due to its importance in dialogue understanding, including in multimodal settings (i.e.…
StarNet: Gradient-free Training of Deep Generative Models using Determined System of Linear Equations
Amir Zadeh, Santiago Benoit, Louis-Philippe Morency
In this paper we present an approach for training deep generative models solely based on solving determined systems of linear equations. A network that uses this approach, called a…
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…
What Gives the Answer Away? Question Answering Bias Analysis on Video QA Datasets
Jianing Yang, Yuying Zhu, Yongxin Wang +3
Question answering biases in video QA datasets can mislead multimodal model to overfit to QA artifacts and jeopardize the model's ability to generalize. Understanding how strong th…
Improving Aspect-Level Sentiment Analysis with Aspect Extraction
Navonil Majumder, Rishabh Bhardwaj, Soujanya Poria +4
Aspect-based sentiment analysis (ABSA), a popular research area in NLP has two distinct parts -- aspect extraction (AE) and labeling the aspects with sentiment polarity (ALSA). Alt…