Paraphrase identification plays an important role with various applications in natural
language processing tasks such as machine translation, bilingual information retrieval …

In this paper, we explore the task of similarity detection, which determines whether two
sentences have the same meaning. Although the task has shown to be important in many …

In 2019, Reimers et al. proposed SBERT to derive sentence embedding for many purposes.
It highly reduced the time complexity of finding the most similar pair of sentences from …

Paraphrase identification is a very important problem and is used in many natural language
processing tasks such as machine translation, bilingual information retrieval, plagiarism …

Paraphrase identification is a core component for many significant tasks in natural language
processing (eg, text summarization, headline generation). A method suggested by Bach et …

Paraphrase identification is an application of natural language processing and data mining.
Now a days, World Wide Web has become a powerful platform for storing and retrieval of …