BLSTM-API: Bi-LSTM recurrent neural network-based approach for Arabic paraphrase identification

A Mahmoud, M Zrigui - Arabian Journal for Science and Engineering, 2021 - Springer
Advances in communication technologies have enabled peoples to deliver more. Due to this
phenomenon, an increasing amount of data are easily disseminated and published on the …

GIMM: A graph convolutional network-based paraphrase identification model to detecting duplicate questions in QA communities

KP Du, X Zhang, C Gao, R Zhu, Q Nong… - Multimedia Tools and …, 2024 - Springer
Paraphrase Identification (PI) is an important task in Natural Language Processing (NLP),
which aims to detect whether two sentences expressed in various forms are semantically …

Siamese bert architecture model with attention mechanism for textual semantic similarity

R Li, L Cheng, D Wang, J Tan - Multimedia Tools and Applications, 2023 - Springer
Abstract Textual Semantic Similarity is a crucial part of text matching tasks, and it has a very
wide range of applications in natural language processing (NLP) tasks such as search …

Overview of PAR-MEX at Iberlef 2022: Paraphrase Detection in Spanish Shared Task

G Bel-Enguix, G Sierra, H Gómez-Adorno… - … del Lenguaje Natural, 2022 - journal.sepln.org
Paraphrase detection is an important unresolved task in natural language processing;
especially in the Spanish language. In order to address this issue, and contribute to the …

Computing semantic similarity of texts based on deep graph learning with ability to use semantic role label information

M Mohebbi, SN Razavi, MA Balafar - Scientific reports, 2022 - nature.com
We propose a deep graph learning approach for computing semantic textual similarity (STS)
by using semantic role labels generated by a Semantic Role Labeling (SRL) system. SRL …

Short Text Paraphrase Identification Model Based on RDN‐MESIM

J Li, D Zhang, A Wulamu - Computational Intelligence and …, 2021 - Wiley Online Library
In the rapid development of various technologies at the present stage, representative
artificial intelligence technology has developed more prominently. Therefore, it has been …

Comparative study and experimentation on different techniques for customised POS-tagging

C Magoo, M Singh - International Journal of Intelligent …, 2022 - inderscienceonline.com
In recent years, NLP is playing a crucial role in giving solutions to the problems like text
summarisation, text classification, document similarity identification, and interactive systems …