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

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

27 December 2019
M. Shakeel
Asim Karim
Imdadullah Khan
ArXivPDFHTML

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

5 / 5 papers shown
Title
Efficient Analysis of COVID-19 Clinical Data using Machine Learning
  Models
Efficient Analysis of COVID-19 Clinical Data using Machine Learning Models
Sarwan Ali
Yijing Zhou
M. Patterson
OOD
17
32
0
18 Oct 2021
Data Augmentation Approaches in Natural Language Processing: A Survey
Data Augmentation Approaches in Natural Language Processing: A Survey
Bohan Li
Yutai Hou
Wanxiang Che
119
270
0
05 Oct 2021
Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19
  Spike Sequences
Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19 Spike Sequences
Sarwan Ali
M. Patterson
16
46
0
12 Sep 2021
Effective and scalable clustering of SARS-CoV-2 sequences
Effective and scalable clustering of SARS-CoV-2 sequences
Sarwan Ali
Tamkanat E. Ali
Muhammad Asad Khan
Imdadullah Khan
M. Patterson
16
30
0
18 Aug 2021
A k-mer Based Approach for SARS-CoV-2 Variant Identification
A k-mer Based Approach for SARS-CoV-2 Variant Identification
Sarwan Ali
Bikram Sahoo
N. Ullah
Alexander Zelikovskiy
M. Patterson
Imdadullah Khan
54
39
0
07 Aug 2021
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