Calculating the semantic similarity between sentences is a long dealt problem in the area of
natural language processing. The semantic analysis field has a crucial role to play in the …

This study is to review the approaches used for measuring sentences similarity. Measuring
similarity between natural language sentences is a crucial task for many Natural Language …

The problem of finding the similarity between natural language sentences is crucial for many
applications in Natural Language Processing (NLP). An accurate calculation of similarity …

Abstract Semantic Textual Similarity (STS) measures the degree to which the underlying
semantics of paired sentences are equivalent. State-of-the-art methods for STS task use …

The semantic analysis field has a crucial role to play in the research related to text analytics.
Calculating the semantic similarity between sentences is a long-standing problem in the …

With the rapid increase of digital music on online music platforms, it has become difficult for
users to find unknown but interesting songs. Although many collaborative filtering or content …

Semantic Textual Similarity (STS) is the task of identifying the semantic correlation between
two sentences of the same or different languages. STS is an important task in natural …

In the area of natural language processing, measuring sentence similarity is an essential
problem. Searching for semantic meaning in natural language is a related issue. The task of …

The problem of measuring sentence similarity is an essential issue in the natural language
processing area. It is necessary to measure the similarity between sentences accurately …

One of the major Android security mechanisms for enforcing restrictions on the core facilities
of a device that an app can access is permission control. However, there is an enormous …