End-to-end task-oriented dialogue (TOD) systems have achieved promising
...
Despite advancements in conversational AI, language models encounter
cha...
This paper proposes to leverage the emerging learning techniques and dev...
Along with the development of systems for natural language understanding...
Prompt-based methods with large pre-trained language models (PLMs) have ...
Heart sound auscultation has been demonstrated to be beneficial in clini...
In task-oriented dialogs such as MultiWoZ (Budzianowski et al., 2018), a...
Speech emotion recognition (SER) has been a popular research topic in
hu...
Prompt tuning (PT) is an effective approach to adapting pre-trained lang...
New COVID-19 epidemic strains like Delta and Omicron with increased
tran...
Inspired by the humans' cognitive ability to generalise knowledge and sk...
As task-oriented dialog systems are becoming increasingly popular in our...
A commonly observed problem of the state-of-the-art natural language
tec...
MultiWOZ is one of the most popular multi-domain task-oriented dialog
da...
Numerous new dialog domains are being created every day while collecting...
This paper presents an algorithmic framework for the distributed on-line...
Cardiovascular diseases are the leading cause of deaths and severely thr...
Computer audition (CA) has been demonstrated to be efficient in healthca...
Limited by the cost and technology, the resolution of depth map collecte...
Structured representations of entity names are useful for many entity-re...
Recent years have seen important advances in the quality of state-of-the...
In the past decade, deep learning (DL) has achieved unprecedented succes...
We introduce an open-source toolkit, i.e., the deep Self End-to-end Lear...
The COVID-19 outbreak was announced as a global pandemic by the World He...
At the time of writing, the world population is suffering from more than...
Better machine understanding of pedestrian behaviors enables faster prog...
End-to-end task-oriented dialog models have achieved promising performan...
User simulators are essential for training reinforcement learning (RL) b...
Flash floods in urban areas occur with increasing frequency. Detecting t...
Reverse Engineering(RE) has been a fundamental task in software engineer...
Entity resolution (ER) is the task of identifying different representati...
Domain adaptation is an essential task in dialog system building because...
One of the frontier issues that severely hamper the development of autom...
In several different applications, including data transformation and ent...
Traditional color images only depict color intensities in red, green and...
Traditional color images only depict color intensities in red, green and...
Target tracking in hyperspectral videos is a new research topic. In this...