Weakly-supervised Multi-task Learning for Multimodal Affect Recognition

04/23/2021
by   Wenliang Dai, et al.
13

Multimodal affect recognition constitutes an important aspect for enhancing interpersonal relationships in human-computer interaction. However, relevant data is hard to come by and notably costly to annotate, which poses a challenging barrier to build robust multimodal affect recognition systems. Models trained on these relatively small datasets tend to overfit and the improvement gained by using complex state-of-the-art models is marginal compared to simple baselines. Meanwhile, there are many different multimodal affect recognition datasets, though each may be small. In this paper, we propose to leverage these datasets using weakly-supervised multi-task learning to improve the generalization performance on each of them. Specifically, we explore three multimodal affect recognition tasks: 1) emotion recognition; 2) sentiment analysis; and 3) sarcasm recognition. Our experimental results show that multi-tasking can benefit all these tasks, achieving an improvement up to 2.9 the stability of model performance. In addition, our analysis suggests that weak supervision can provide a comparable contribution to strong supervision if the tasks are highly correlated.

READ FULL TEXT

page 1

page 2

page 3

page 4

04/23/2017

Learning weakly supervised multimodal phoneme embeddings

Recent works have explored deep architectures for learning multimodal sp...
03/31/2022

MMER: Multimodal Multi-task learning for Emotion Recognition in Spoken Utterances

Emotion Recognition (ER) aims to classify human utterances into differen...
09/12/2018

Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training

In this paper, we propose Emo2Vec which encodes emotional semantics into...
05/17/2021

MUSER: MUltimodal Stress Detection using Emotion Recognition as an Auxiliary Task

The capability to automatically detect human stress can benefit artifici...
12/20/2014

Weakly Supervised Multi-Embeddings Learning of Acoustic Models

We trained a Siamese network with multi-task same/different information ...
04/18/2021

Variational Weakly Supervised Sentiment Analysis with Posterior Regularization

Sentiment analysis is an important task in natural language processing (...
05/08/2021

Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face Study

Multi-Task Learning has emerged as a methodology in which multiple tasks...