A survey of joint intent detection and slot filling models in natural language understanding
Intent classification, to identify the speaker's intention, and slot filling, to label each token
with a semantic type, are critical tasks in natural language understanding. Traditionally the …
with a semantic type, are critical tasks in natural language understanding. Traditionally the …
Automated machine learning approaches for emergency response and coordination via social media in the aftermath of a disaster: A review
Social media communication serves as an integral part of the crisis response following a
mass emergency (disaster) event. Regardless of the kind of disaster event, whether it is a …
mass emergency (disaster) event. Regardless of the kind of disaster event, whether it is a …
[图书][B] Feature engineering for machine learning and data analytics
Feature engineering plays a vital role in big data analytics. Machine learning and data
mining algorithms cannot work without data. Little can be achieved if there are few features …
mining algorithms cannot work without data. Little can be achieved if there are few features …
Semi-dilated convolutional neural networks for epileptic seizure prediction
Epilepsy is a neurological brain disorder that affects∼ 75 million people worldwide.
Predicting epileptic seizures holds great potential for improving the quality of life of people …
Predicting epileptic seizures holds great potential for improving the quality of life of people …
Mining textual and imagery instagram data during the COVID-19 pandemic
Instagram is perhaps the most rapidly gaining in popularity of photo and video sharing social
networking applications. It has been widely adopted by both end-users and organizations …
networking applications. It has been widely adopted by both end-users and organizations …
[HTML][HTML] Unveiling the dynamics of crisis events: Sentiment and emotion analysis via multi-task learning with attention mechanism and subject-based intent prediction
In the age of rapid internet expansion, social media platforms like Twitter have become
crucial for sharing information, expressing emotions, and revealing intentions during crisis …
crucial for sharing information, expressing emotions, and revealing intentions during crisis …
Multiple granularity user intention fairness recognition of intelligent government Q & A system via three-way decision
D Liang, Y Wu, W Duan - Information Sciences, 2023 - Elsevier
With respect to an intelligent government questions & answers (Q & A) system, user intention
recognition for government affairs is a key issue. Accurate intention recognition can …
recognition for government affairs is a key issue. Accurate intention recognition can …
Characterizing linguistic attributes for automatic classification of intent based racist/radicalized posts on tumblr micro-blogging website
Research shows that many like-minded people use popular microblogging websites for
posting hateful speech against various religions and race. Automatic identification of racist …
posting hateful speech against various religions and race. Automatic identification of racist …
On broadcast-based self-learning in named data networking
In local area networks and mobile ad-hoc networks, broadcast-based self-learning is a
common mechanism to find packet delivery paths. Self-learning broadcasts the first packet …
common mechanism to find packet delivery paths. Self-learning broadcasts the first packet …
Modeling feedback in interaction with conversational agents—a review
Intelligent agents interacting with humans through conversation (such as a robot, embodied
conversational agent, or chatbot) need to receive feedback from the human to make sure …
conversational agent, or chatbot) need to receive feedback from the human to make sure …