57 citations · 152 across the 10 of their papers we have counts for
7 papers · 1 filter
Evaluating Parameter-Efficient Transfer Learning Approaches on SURE Benchmark for Speech Understanding
Yingting Li, Ambuj Mehrish, Shuai Zhao +5
Fine-tuning is widely used as the default algorithm for transfer learning from pre-trained models. Parameter inefficiency can however arise when, during transfer learning, all the…
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.…
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…
Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal Behaviors
Yansen Wang, Ying Shen, Zhun Liu +3
Humans convey their intentions through the usage of both verbal and nonverbal behaviors during face-to-face communication. Speaker intentions often vary dynamically depending on di…
Tensor Fusion Network for Multimodal Sentiment Analysis
Amir Zadeh, Minghai Chen, Soujanya Poria +2
Multimodal sentiment analysis is an increasingly popular research area, which extends the conventional language-based definition of sentiment analysis to a multimodal setup where o…