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 …
[HTML][HTML] Demystifying the role of natural language processing (NLP) in smart city applications: background, motivation, recent advances, and future research directions
N Tyagi, B Bhushan - Wireless Personal Communications, 2023 - Springer
Smart cities provide an efficient infrastructure for the enhancement of the quality of life of the
people by aiding in fast urbanization and resource management through sustainable and …
people by aiding in fast urbanization and resource management through sustainable and …
Learning to execute actions or ask clarification questions
Collaborative tasks are ubiquitous activities where a form of communication is required in
order to reach a joint goal. Collaborative building is one of such tasks. We wish to develop …
order to reach a joint goal. Collaborative building is one of such tasks. We wish to develop …
Joint agricultural intent detection and slot filling based on enhanced heterogeneous attention mechanism
X Hao, L Wang, H Zhu, X Guo - Computers and Electronics in Agriculture, 2023 - Elsevier
Agricultural diseases and pests are important factors restricting global food production. The
knowledge-based question-answering (Q&A) system opens a new avenue for pest and …
knowledge-based question-answering (Q&A) system opens a new avenue for pest and …
[HTML][HTML] Knowledge graph and deep learning-based text-to-GraphQL model for intelligent medical consultation chatbot
Abstract Text-to-GraphQL (Text2GraphQL) is a task that converts the user's questions into
Graph+ QL (Query Language) when a graph database is given. That is a task of semantic …
Graph+ QL (Query Language) when a graph database is given. That is a task of semantic …
[HTML][HTML] Development of charging/discharging scheduling algorithm for economical and energy-efficient operation of multi-EV charging station
As the number of electric vehicles (EVs) significantly increases, the excessive charging
demand of parked EVs in the charging station may incur an instability problem to the …
demand of parked EVs in the charging station may incur an instability problem to the …
A social robot architecture for personalized real-time human-robot interaction
In the age of the Internet of Things (IoT), the combination of robotics and artificial intelligence
has paved the way for the development of social robots able to undertake realistic …
has paved the way for the development of social robots able to undertake realistic …
Sentence semantic matching based on 3D CNN for human–robot language interaction
The development of cognitive robotics brings an attractive scenario where humans and
robots cooperate to accomplish specific tasks. To facilitate this scenario, cognitive robots are …
robots cooperate to accomplish specific tasks. To facilitate this scenario, cognitive robots are …
StaResGRU-CNN with CMedLMs: A stacked residual GRU-CNN with pre-trained biomedical language models for predictive intelligence
As a task requiring strong professional experience as supports, predictive biomedical
intelligence cannot be separated from the support of a large amount of external domain …
intelligence cannot be separated from the support of a large amount of external domain …
A hybrid siamese neural network for natural language inference in cyber-physical systems
Cyber-Physical Systems (CPS), as a multi-dimensional complex system that connects the
physical world and the cyber world, has a strong demand for processing large amounts of …
physical world and the cyber world, has a strong demand for processing large amounts of …