Attention is an increasingly popular mechanism used in a wide range of neural
architectures. The mechanism itself has been realized in a variety of formats. However …

Estimating the semantic similarity between text data is one of the challenging and open
research problems in the field of Natural Language Processing (NLP). The versatility of …

While some studies have proven that Swin Transformer (Swin) with window self-attention
(WSA) is suitable for single image super-resolution (SR), the plain WSA ignores the broad …

Convolution and recurrent neural network have obtained remarkable performance in natural
language processing (NLP). Moreover, from the attention mechanism perspective …

Text steganography has received a lot of attention in the application of covert
communication. How to ensure desirable capacity and imperceptibility has become a key …

Authorship attribution is to extract features to identify authors of anonymous documents.
Many previous works on authorship attribution focus on statistical style features (eg …

Semantic representation is a way of expressing the meaning of a text that can be processed
by a machine to serve a particular natural language processing (NLP) task that usually …

Nowadays, it is important for buyers to know other customer opinions to make informed
decisions on buying a product or service. In addition, companies and organizations can …

As technology advances, competition among market players intensifies, highlighting the
importance of comprehending both one's own and competitors' pricing strategies. Traditional …

Text classification is a significant part of the business world. In the news classification world,
detection of the subject is an important issue that can lead to the recognition of news trends …