Paraphrase detection is important for a number of applications, including plagiarism
detection, authorship attribution, question answering, text summarization, text mining in …

Text matching is the process of identifying and locating particular text matches in raw data.
Text matching is a vital component in practical applications and an essential process in …

This article dwells process of ML-model development for detecting paraphrasing by binary
classification of texts pair. For this study, the following semantic similarity metrics or …

Paraphrase detection (PD) is a very essential and important task in Natural language
processing. The goal of paraphrase detection is to check whether two statements written in …

Standardizing clinical laboratory test results is critical for conducting clinical data science
research and analysis. However, standardized data processing tools and guidelines are …

Measuring semantic relatedness between sentences has always been a major point of
discussion for NLP researchers. Semantic relatedness measures are key factors in text …

Purpose: The current research compares the representative elements (title, abstract, and
keywords) of the articles that existed in the proposal references' citation network with the …

오늘날 대다수의 독해 검사는 글의 지엽적인 정보를 묻는 문항들이 많다. 하지만, 글의 지엽적인
정보를 묻는 것만으로는 수험자의 독해 능력을 정확히 파악할 수 없다는 문제가 있다. 이에, 본 …

Актуальність. Перефразований текстовий контенту або рерайт є однією із складних
проблем виявлення академічного плагіату. Більшість систем ідентифікації плагіату …

Paraphrase detection (PD) is a very essential and important task in Natural language
processing. The goal of paraphrase detection is to check whether two statements written in …