Federated learning is a distributed machine learning technology, which
r...
The explosive growth of cyber attacks nowadays, such as malware, spam, a...
Technology videos contain rich multi-modal information. In cross-modal
i...
Existing research usually utilizes side information such as social netwo...
The relation triples extraction method based on table filling can addres...
In this paper, we aim to devise a universally versatile style transfer m...
Text sentiment analysis, also known as opinion mining, is research on th...
We provide a simple and general solution for the discovery of scarce top...
Word embedding is a fundamental natural language processing task which c...
With the development of online travel services, it has great application...
With the rapid development of information technology, "information overl...
In order to smoothly promote the establishment of scientific research
pr...
The knowledge extraction task is to extract triple relations (head
entit...
Learning knowledge representation of scientific paper data is a problem ...
Random walk is widely used in many graph analysis tasks, especially the
...
With the rapid development of Internet technology, people have more and ...
Patent texts contain a large amount of entity information. Through named...
Cross-media retrieval of scientific and technological information is one...
Graphs that capture relations between textual units have great benefits ...
Recently, recommender systems play a pivotal role in alleviating the pro...
Image based social networks are among the most popular social networking...
Over the past few years, softmax and SGD have become a commonly used
com...