A Multi-cascaded Model with Data Augmentation for Enhanced Paraphrase Detection in Short Texts

27 December 2019

Papers citing "A Multi-cascaded Model with Data Augmentation for Enhanced Paraphrase Detection in Short Texts"

8 / 8 papers shown

Title
Robust Representation and Efficient Feature Selection Allows for Effective Clustering of SARS-CoV-2 Variants Z. Tayebi Sarwan Ali M. Patterson 21 19 0 18 Oct 2021
Efficient Analysis of COVID-19 Clinical Data using Machine Learning Models Sarwan Ali Yijing Zhou M. Patterson OOD 27 32 0 18 Oct 2021
Data Augmentation Approaches in Natural Language Processing: A Survey Bohan Li Yutai Hou Wanxiang Che 130 271 0 05 Oct 2021
Characterizing SARS-CoV-2 Spike Sequences Based on Geographical Location Sarwan Ali B. Bello Z. Tayebi Murray Patterson 44 2 0 02 Oct 2021
Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19 Spike Sequences Sarwan Ali M. Patterson 21 46 0 12 Sep 2021
Effective and scalable clustering of SARS-CoV-2 sequences Sarwan Ali Tamkanat E. Ali Muhammad Asad Khan Imdadullah Khan M. Patterson 37 31 0 18 Aug 2021
A k-mer Based Approach for SARS-CoV-2 Variant Identification Sarwan Ali Bikram Sahoo N. Ullah Alexander Zelikovskiy M. Patterson Imdadullah Khan 67 39 0 07 Aug 2021
Predicting Attributes of Nodes Using Network Structure Sarwan Ali M. Shakeel Imdadullah Khan S. Faizullah Muhammad Asad Khan GNN 15 31 0 27 Dec 2019