Over the last decades, ample achievements have been made on Structure fr...
Aspect-based sentiment analysis is a long-standing research interest in ...
Accurate prediction of electric load is crucial in power grid planning a...
The nodes in the commonsense knowledge graph (CSKG) are normally represe...
Multilingual training is effective in improving low-resource ASR, which ...
We improve low-resource ASR by integrating the ideas of multilingual tra...
Recently, ChatGPT has drawn great attention from both the research commu...
Multimodal reasoning, an area of artificial intelligence that aims at ma...
Recent studies have shown that using an external Language Model (LM) ben...
Aspect-Based Sentiment Analysis (ABSA) aims to provide fine-grained
aspe...
ATOMIC is a large-scale commonsense knowledge graph (CSKG) containing
ev...
As an important task in sentiment analysis, Multimodal Aspect-Based Sent...
Since previous studies on open-domain targeted sentiment analysis are li...
Vision Transformer (ViT) depends on properties similar to the inductive ...
Emotion cause analysis has received considerable attention in recent yea...
With the increasing popularity of speech synthesis products, the industr...
This paper describes the ByteDance speaker diarization system for the fo...
Speech enhancement is a task to improve the intelligibility and perceptu...
Aspect-oriented Fine-grained Opinion Extraction (AFOE) aims at extractin...
With the popularity of deep neural network, speech synthesis task has
ac...
Emotion cause extraction (ECE), the task aimed at extracting the potenti...
The emotion cause extraction (ECE) task aims at discovering the potentia...
Emotion cause identification aims at identifying the potential causes th...
We propose a novel ranking model that combines the Bradley-Terry-Luce
pr...
Understanding Affect from video segments has brought researchers from th...
Recommender systems (RSs) provide an effective way of alleviating the
in...
Deep learning techniques have achieved success in aspect-based sentiment...
Recently the deep learning techniques have achieved success in multi-lab...
Deep neural networks have recently been shown to achieve highly competit...
With the development of e-commerce, many products are now being sold
wor...