A Novel Plagiarism Detection Approach Combining BERT-based Word Embedding, Attention-based LSTMs and an Improved Differential Evolution Algorithm

no code implementations • 3 May 2023 • Seyed Vahid Moravvej, Seyed Jalaleddin Mousavirad, Diego Oliva, Fardin Mohammadi

In this article, we propose a novel method for detecting plagiarism that is based on attention mechanism-based long short-term memory (LSTM) and bidirectional encoder representations from transformers (BERT) word embedding, enhanced with optimized differential evolution (DE) method for pre-training and a focal loss function for training.

An LSTM-based Plagiarism Detection via Attention Mechanism and a Population-based Approach for Pre-Training Parameters with imbalanced Classes

no code implementations • 17 Oct 2021 • Seyed Vahid Moravvej, Seyed Jalaleddin Mousavirad, Mahshid Helali Moghadam, Mehrdad Saadatmand

To this end, this paper employs a PBMH algorithm, artificial bee colony (ABC), to moderate the problem.

Biomedical text summarization using Conditional Generative Adversarial Network(CGAN)

no code implementations • 17 Sep 2021 • Seyed Vahid Moravvej, Abdolreza Mirzaei, Mehran Safayani

Text summarization in medicine can help doctors for reducing the time to access important information from countless documents.

Extractive Summarization Generative Adversarial Network +1