ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1702.01923
  4. Cited By
Comparative Study of CNN and RNN for Natural Language Processing

Comparative Study of CNN and RNN for Natural Language Processing

7 February 2017
Wenpeng Yin
Katharina Kann
Mo Yu
Hinrich Schütze
ArXivPDFHTML

Papers citing "Comparative Study of CNN and RNN for Natural Language Processing"

50 / 59 papers shown
Title
Artificial Intelligence and Deep Learning Algorithms for Epigenetic Sequence Analysis: A Review for Epigeneticists and AI Experts
Artificial Intelligence and Deep Learning Algorithms for Epigenetic Sequence Analysis: A Review for Epigeneticists and AI Experts
Muhammad Tahir
Mahboobeh Norouzi
Shehroz S. Khan
James Davie
Soichiro Yamanaka
A. Ashraf
37
1
0
01 Apr 2025
2-Tier SimCSE: Elevating BERT for Robust Sentence Embeddings
2-Tier SimCSE: Elevating BERT for Robust Sentence Embeddings
Yumeng Wang
Ziran Zhou
Junjin Wang
46
0
0
23 Jan 2025
Spatio-Temporal Graph Convolutional Networks: Optimised Temporal Architecture
Spatio-Temporal Graph Convolutional Networks: Optimised Temporal Architecture
Edward Turner
GNN
38
1
0
14 Jan 2025
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
Wanghan Xu
Fenghua Ling
Wenlong Zhang
Tao Han
Hao Chen
Wanli Ouyang
Lei Bai
AI4CE
39
5
0
22 May 2024
Non-verbal information in spontaneous speech -- towards a new framework
  of analysis
Non-verbal information in spontaneous speech -- towards a new framework of analysis
Tirza Biron
Moshe Barboy
Eran Ben-Artzy
Alona Golubchik
Yanir Marmor
Smadar Szekely
Yaron Winter
David Harel
37
0
0
06 Mar 2024
Toward a Period-Specific Optimized Neural Network for OCR Error
  Correction of Historical Hebrew Texts
Toward a Period-Specific Optimized Neural Network for OCR Error Correction of Historical Hebrew Texts
Omri Suissa
M. Zhitomirsky-Geffet
Avshalom Elmalech
11
8
0
30 Jul 2023
Forward and Inverse Approximation Theory for Linear Temporal
  Convolutional Networks
Forward and Inverse Approximation Theory for Linear Temporal Convolutional Networks
Hao Jiang
Qianxiao Li
AI4TS
24
0
0
29 May 2023
Coding for the Gaussian Channel in the Finite Blocklength Regime Using a
  CNN-Autoencoder
Coding for the Gaussian Channel in the Finite Blocklength Regime Using a CNN-Autoencoder
N. Hesham
M. Bouzid
Ahmad Abdel-Qader
Anas Chaaban
23
0
0
25 May 2023
Automated Reading Passage Generation with OpenAI's Large Language Model
Automated Reading Passage Generation with OpenAI's Large Language Model
Ummugul Bezirhan
M. Davier
AI4Ed
31
23
0
10 Apr 2023
Lay Text Summarisation Using Natural Language Processing: A Narrative
  Literature Review
Lay Text Summarisation Using Natural Language Processing: A Narrative Literature Review
Oliver Vinzelberg
M. Jenkins
Gordon Morison
David McMinn
Z. Tieges
37
6
0
24 Mar 2023
Asteria-Pro: Enhancing Deep-Learning Based Binary Code Similarity
  Detection by Incorporating Domain Knowledge
Asteria-Pro: Enhancing Deep-Learning Based Binary Code Similarity Detection by Incorporating Domain Knowledge
Shouguo Yang
Chaopeng Dong
Yang Xiao
Yiran Cheng
Zhiqiang Shi
Zhi Li
Limin Sun
22
31
0
02 Jan 2023
Intelligent Computing: The Latest Advances, Challenges and Future
Intelligent Computing: The Latest Advances, Challenges and Future
Shiqiang Zhu
Ting Yu
Tao Xu
Hongyang Chen
Schahram Dustdar
...
Tariq S. Durrani
Huaimin Wang
Jiangxing Wu
Tongyi Zhang
Yunhe Pan
AI4CE
36
117
0
21 Nov 2022
Artificial intelligence for improved fitting of trajectories of
  elementary particles in inhomogeneous dense materials immersed in a magnetic
  field
Artificial intelligence for improved fitting of trajectories of elementary particles in inhomogeneous dense materials immersed in a magnetic field
Saúl Alonso-Monsalve
D. Sgalaberna
Xingyu Zhao
C. Mcgrew
A. Rubbia
19
4
0
09 Nov 2022
Are Deep Sequence Classifiers Good at Non-Trivial Generalization?
Are Deep Sequence Classifiers Good at Non-Trivial Generalization?
Francesco Cazzaro
A. Quattoni
X. Carreras
MQ
26
0
0
24 Oct 2022
Flipped Classroom: Effective Teaching for Time Series Forecasting
Flipped Classroom: Effective Teaching for Time Series Forecasting
P. Teutsch
Patrick Mäder
AI4TS
29
8
0
17 Oct 2022
Deep Sequence Models for Text Classification Tasks
Deep Sequence Models for Text Classification Tasks
S. S. Abdullahi
Su Yiming
Shamsuddeen Hassan Muhammad
A. Mustapha
Ahmad Muhammad Aminu
Abdulkadir Abdullahi
Musa Bello
Saminu Mohammad Aliyu
30
3
0
18 Jul 2022
Highly Accurate FMRI ADHD Classification using time distributed multi
  modal 3D CNNs
Highly Accurate FMRI ADHD Classification using time distributed multi modal 3D CNNs
Christopher Sims
MedIm
19
3
0
24 May 2022
Deep Graph Convolutional Network and LSTM based approach for predicting
  drug-target binding affinity
Deep Graph Convolutional Network and LSTM based approach for predicting drug-target binding affinity
Shrimon Mukherjee
Madhusudan Ghosh
Partha Basuchowdhuri
19
28
0
18 Jan 2022
Speedup deep learning models on GPU by taking advantage of efficient
  unstructured pruning and bit-width reduction
Speedup deep learning models on GPU by taking advantage of efficient unstructured pruning and bit-width reduction
Marcin Pietroñ
Dominik Zurek
30
13
0
28 Dec 2021
Unsupervised Law Article Mining based on Deep Pre-Trained Language
  Representation Models with Application to the Italian Civil Code
Unsupervised Law Article Mining based on Deep Pre-Trained Language Representation Models with Application to the Italian Civil Code
Andrea Tagarelli
Andrea Simeri
AILaw
31
44
0
02 Dec 2021
Observation Error Covariance Specification in Dynamical Systems for Data
  assimilation using Recurrent Neural Networks
Observation Error Covariance Specification in Dynamical Systems for Data assimilation using Recurrent Neural Networks
Sibo Cheng
Mingming Qiu
32
22
0
11 Nov 2021
Machine Learning for Multimodal Electronic Health Records-based
  Research: Challenges and Perspectives
Machine Learning for Multimodal Electronic Health Records-based Research: Challenges and Perspectives
Ziyi Liu
Jiaqi Zhang
Yongshuai Hou
Xinran Zhang
Ge Li
Yang Xiang
19
14
0
09 Nov 2021
Lightweight Transformer in Federated Setting for Human Activity
  Recognition
Lightweight Transformer in Federated Setting for Human Activity Recognition
Ali Raza
K. Tran
L. Koehl
Shujun Li
Xianyi Zeng
Khaled Benzaidi
MedIm
25
10
0
01 Oct 2021
Frequency Pooling: Shift-Equivalent and Anti-Aliasing Downsampling
Frequency Pooling: Shift-Equivalent and Anti-Aliasing Downsampling
Zhendong Zhang
OOD
21
5
0
24 Sep 2021
Jointly Modeling Aspect and Polarity for Aspect-based Sentiment Analysis
  in Persian Reviews
Jointly Modeling Aspect and Polarity for Aspect-based Sentiment Analysis in Persian Reviews
Milad Vazan
J. Razmara
33
12
0
16 Sep 2021
Oscillatory Fourier Neural Network: A Compact and Efficient Architecture
  for Sequential Processing
Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing
Bing Han
Cheng Wang
Kaushik Roy
34
7
0
14 Sep 2021
BERT Fine-Tuning for Sentiment Analysis on Indonesian Mobile Apps
  Reviews
BERT Fine-Tuning for Sentiment Analysis on Indonesian Mobile Apps Reviews
Kuncahyo Setyo Nugroho
Anantha Yullian Sukmadewa
DW HaftittahWuswilahaken
F. A. Bachtiar
N. Yudistira
18
43
0
14 Jul 2021
Literature review on vulnerability detection using NLP technology
Literature review on vulnerability detection using NLP technology
Jiajie Wu
39
14
0
23 Apr 2021
Hierarchical Adaptive Pooling by Capturing High-order Dependency for
  Graph Representation Learning
Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning
Ning Liu
Songlei Jian
Dongsheng Li
Yiming Zhang
Zhiquan Lai
Hongzuo Xu
39
31
0
13 Apr 2021
Machine Learning Meets Natural Language Processing -- The story so far
Machine Learning Meets Natural Language Processing -- The story so far
N. Galanis
P. Vafiadis
K.-G. Mirzaev
G. Papakostas
38
7
0
27 Mar 2021
Trends in deep learning for medical hyperspectral image analysis
Trends in deep learning for medical hyperspectral image analysis
Uzair Khan
Sidike Paheding
Colin P. Elkin
Vijay Devabhaktuni
OOD
27
58
0
27 Nov 2020
Privacy-Preserving and Efficient Data Collection Scheme for AMI Networks
  Using Deep Learning
Privacy-Preserving and Efficient Data Collection Scheme for AMI Networks Using Deep Learning
Mohamed I. Ibrahem
Mohamed Mahmoud
M. Fouda
F. Alsolami
Waleed S. Alasmary
Xuemin Shen
Shen
33
28
0
07 Nov 2020
Deep Learning for Radio-based Human Sensing: Recent Advances and Future
  Directions
Deep Learning for Radio-based Human Sensing: Recent Advances and Future Directions
Isura Nirmal
Abdelwahed Khamis
Mahbub Hassan
Wen Hu
Xiaoqing Zhu
31
68
0
23 Oct 2020
Interpreting convolutional networks trained on textual data
Interpreting convolutional networks trained on textual data
Reza Marzban
Christopher Crick
FAtt
27
3
0
20 Oct 2020
Deep Learning for Predictive Business Process Monitoring: Review and
  Benchmark
Deep Learning for Predictive Business Process Monitoring: Review and Benchmark
Efrén Rama-Maneiro
J. Vidal
Manuel Lama
11
74
0
24 Sep 2020
On Hyperparameter Optimization of Machine Learning Algorithms: Theory
  and Practice
On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice
Li Yang
Abdallah Shami
AI4CE
20
2,032
0
30 Jul 2020
i6mA-CNN: a convolution based computational approach towards
  identification of DNA N6-methyladenine sites in rice genome
i6mA-CNN: a convolution based computational approach towards identification of DNA N6-methyladenine sites in rice genome
Ruhul Amin
C. R. Rahman
Md. Sadrul Islam Toaha
Swakkhar Shatabda
21
4
0
20 Jul 2020
Unlocking the Power of Deep PICO Extraction: Step-wise Medical NER
  Identification
Unlocking the Power of Deep PICO Extraction: Step-wise Medical NER Identification
Tengteng Zhang
Yiqin Yu
Jing Mei
Zefang Tang
Xiang Zhang
Shaochun Li
27
10
0
30 Apr 2020
Transformer Hawkes Process
Transformer Hawkes Process
Simiao Zuo
Haoming Jiang
Zichong Li
T. Zhao
H. Zha
AI4TS
24
286
0
21 Feb 2020
SCAUL: Power Side-Channel Analysis with Unsupervised Learning
SCAUL: Power Side-Channel Analysis with Unsupervised Learning
Keyvan Ramezanpour
P. Ampadu
William Diehl
13
45
0
16 Jan 2020
Predicting Heart Failure Readmission from Clinical Notes Using Deep
  Learning
Predicting Heart Failure Readmission from Clinical Notes Using Deep Learning
Xiong Liu
Yu Chen
J. Bae
Hu Li
J. Johnston
Todd Sanger
16
31
0
21 Dec 2019
Turbo Autoencoder: Deep learning based channel codes for point-to-point
  communication channels
Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels
Yihan Jiang
Hyeji Kim
Himanshu Asnani
Sreeram Kannan
Sewoong Oh
Pramod Viswanath
32
134
0
08 Nov 2019
Language-Agnostic Syllabification with Neural Sequence Labeling
Language-Agnostic Syllabification with Neural Sequence Labeling
Jacob Krantz
Max W. Dulin
P. Palma
33
13
0
29 Sep 2019
A Deep Learning-Based Approach for Measuring the Domain Similarity of
  Persian Texts
A Deep Learning-Based Approach for Measuring the Domain Similarity of Persian Texts
Hossein Keshavarz
Shohreh Tabatabayi Seifi
M. Izadi
22
2
0
12 Sep 2019
Interactive Learning for Identifying Relevant Tweets to Support
  Real-time Situational Awareness
Interactive Learning for Identifying Relevant Tweets to Support Real-time Situational Awareness
L. Snyder
Yi-Shan Lin
M. Karimzadeh
Dan Goldwasser
D. Ebert
30
50
0
01 Aug 2019
Deep Learning for Time Series Forecasting: The Electric Load Case
Deep Learning for Time Series Forecasting: The Electric Load Case
Alberto Gasparin
S. Lukovic
Cesare Alippi
AI4TS
27
220
0
22 Jul 2019
Comparison of Neural Network Architectures for Spectrum Sensing
Comparison of Neural Network Architectures for Spectrum Sensing
Ziyu Ye
A. Gilman
Qihang Peng
Kelly Levick
P. Cosman
L. B. Milstein
MQ
21
9
0
15 Jul 2019
Resilient Combination of Complementary CNN and RNN Features for Text
  Classification through Attention and Ensembling
Resilient Combination of Complementary CNN and RNN Features for Text Classification through Attention and Ensembling
Athanasios Giannakopoulos
Maxime Coriou
Andreea Hossmann
Michael Baeriswyl
C. Musat
11
3
0
28 Mar 2019
Improving Natural Language Inference Using External Knowledge in the
  Science Questions Domain
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain
Xiaoyang Wang
Pavan Kapanipathi
Ryan Musa
Mo Yu
Kartik Talamadupula
...
Maria Chang
Achille Fokoue
B. Makni
Nicholas Mattei
Michael Witbrock
18
158
0
15 Sep 2018
Comparing Attention-based Convolutional and Recurrent Neural Networks:
  Success and Limitations in Machine Reading Comprehension
Comparing Attention-based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension
Matthias Blohm
Glorianna Jagfeld
Ekta Sood
Xiang Yu
Ngoc Thang Vu
27
54
0
27 Aug 2018
12
Next