This article presents a comprehensive review of stacking methods commonly used to
address the challenge of automatic semantic similarity measurement in the literature. Since …

The availability of Big Data sets has led many organizations to shift their emphases from
supporting transaction-oriented data processing to supporting data-centric analytics and …

Plagiarism detection is a challenging task, aiming to identify similar items in two documents.
In this paper, we present a novel approach to automatic plagiarism detection that combines …

Current multi-person localisation and tracking systems have an over reliance on the use of
appearance models for target re-identification and almost no approaches employ a …

Plagiarism is one of the leading problems in academic and industrial environments, which
its goal is to find the similar items in a typical document or source code. This paper proposes …

The availability of Big Data sets has led many organizations to shift their emphases from
supporting transaction-oriented data processing to supporting data-centric analytics and …

Bidirectional LSTMs and the attention mechanism play an essential role in many areas of
natural language processing. Many studies give equal importance to words, which leads to …

The ease of access to the various resources on the web enabled the democratization of
access to information but at the same time allowed the appearance of enormous plagiarism …

We address the problem of learning semantic representation of questions to measure
similarity between pairs as a continuous distance metric. Our work naturally extends Word …

Existing systems deliver high accuracy and F1-scores for detecting paraphrase and
semantic similarity on traditional clean-text corpus. For instance, on the clean-text Microsoft …