Rare diseases (RDs) are collectively common and affect 300 million peopl...
New intent discovery is of great value to natural language processing,
a...
In this study, we investigated the potential of ChatGPT, a large languag...
Social determinants of health (SDoH) have a significant impact on health...
Improving model robustness against potential modality noise, as an essen...
Integer programming problems (IPs) are challenging to be solved efficien...
Inter-modal interaction plays an indispensable role in multimodal sentim...
Multimodal intent recognition is a significant task for understanding hu...
Multimodal sentiment analysis (MSA), which supposes to improve text-base...
Continual Machine Reading Comprehension aims to incrementally learn from...
M-SENA is an open-sourced platform for Multimodal Sentiment Analysis. It...
The open intent detection problem is presented in this paper, which aims...
Continual relation extraction (CRE) aims to continuously train a model o...
Our objective in this study is to investigate the behavior of Boolean
op...
Representation Learning is a significant and challenging task in multimo...
Open intent classification is a challenging task in dialogue system. On ...
Discovering new intents is a crucial task in a dialogue system. Most exi...
Background: Identifying relationships between clinical events and tempor...
With the maturity and popularity of dialogue systems, detecting user's
u...
Identifying new user intents is an essential task in the dialogue system...
Developing high-performance entity normalization algorithms that can
all...
Identifying the unknown (novel) user intents that have never appeared in...
Neural network-based representations ("embeddings") have dramatically
ad...
Audio Sentiment Analysis is a popular research area which extends the
co...