Topological Signal Processing (TSP) utilizes simplicial complexes to mod...
Graphons have traditionally served as limit objects for dense graph
sequ...
Due to inappropriate sample selection and limited training data, a
distr...
Knowledge distillation is of key importance to launching multilingual
pr...
Topological signal processing (TSP) over simplicial complexes typically
...
In node classification using graph neural networks (GNNs), a typical mod...
Synchronous generator system is a complicated dynamical system for energ...
In graph neural networks (GNNs), both node features and labels are examp...
Many graph neural networks have been developed to learn graph representa...
Heterogeneous graphs have multiple node and edge types and are semantica...
Graph signal processing is a framework to handle graph structured data. ...
Pre-trained Language Models (PLMs) have achieved great success on Machin...
A number of studies point out that current Visual Question Answering (VQ...
A heterogeneous graph consists of different vertices and edges types.
Le...
Intelligent personal assistant systems for information-seeking conversat...
In order to facilitate natural language understanding, the key is to eng...
Pre-sales customer service is of importance to E-commerce platforms as i...
Different people have different habits of describing their intents in
co...
How to build a high-quality multi-domain dialogue system is a challengin...
Producing natural and accurate responses like human beings is the ultima...
Sparsity is regarded as a desirable property of representations, especia...
Information-seeking conversation system aims at satisfying the informati...
How to incorporate external knowledge into a neural dialogue model is
cr...
Dialogue systems dealing with multi-domain tasks are highly required. Ho...
In this paper, we present a fast and strong neural approach for general
...
The users often have many product-related questions before they make a
p...
In view of the huge success of convolution neural networks (CNN) for ima...
Deep text matching approaches have been widely studied for many applicat...
Measuring the semantic similarity between two sentences (or Semantic Tex...
Building multi-turn information-seeking conversation systems is an impor...
Dialogue management (DM) decides the next action of a dialogue system
ac...