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Understanding Convolutional Neural Networks for Text Classification

Understanding Convolutional Neural Networks for Text Classification

21 September 2018
Alon Jacovi
Oren Sar Shalom
Yoav Goldberg
    FAtt
ArXivPDFHTML

Papers citing "Understanding Convolutional Neural Networks for Text Classification"

20 / 20 papers shown
Title
DepressionX: Knowledge Infused Residual Attention for Explainable Depression Severity Assessment
Yusif Ibrahimov
Tarique Anwar
Tommy Yuan
44
0
0
28 Jan 2025
Explainability of machine learning approaches in forensic linguistics: a
  case study in geolinguistic authorship profiling
Explainability of machine learning approaches in forensic linguistics: a case study in geolinguistic authorship profiling
Dana Roemling
Yves Scherrer
Aleksandra Miletic
53
0
0
29 Apr 2024
Continual Graph Convolutional Network for Text Classification
Continual Graph Convolutional Network for Text Classification
Tiandeng Wu
Qijiong Liu
Yinhao Cao
yao. huang
Xiao-Ming Wu
Jiandong Ding
GNN
16
9
0
09 Apr 2023
StyLEx: Explaining Style Using Human Lexical Annotations
StyLEx: Explaining Style Using Human Lexical Annotations
Shirley Anugrah Hayati
Kyumin Park
Dheeraj Rajagopal
Lyle Ungar
Dongyeop Kang
25
3
0
14 Oct 2022
TextConvoNet:A Convolutional Neural Network based Architecture for Text
  Classification
TextConvoNet:A Convolutional Neural Network based Architecture for Text Classification
Sanskar Soni
S. Chouhan
S. Rathore
33
95
0
10 Mar 2022
GADoT: GAN-based Adversarial Training for Robust DDoS Attack Detection
GADoT: GAN-based Adversarial Training for Robust DDoS Attack Detection
Maged AbdelAty
Sandra Scott-Hayward
Roberto Doriguzzi-Corin
Domenico Siracusa
AAML
21
23
0
31 Jan 2022
Robustness Tests of NLP Machine Learning Models: Search and Semantically
  Replace
Robustness Tests of NLP Machine Learning Models: Search and Semantically Replace
Rahul Singh
Karan Jindal
Yufei Yu
Hanyu Yang
Tarun Joshi
Matthew A. Campbell
Wayne B. Shoumaker
50
2
0
20 Apr 2021
Structural block driven - enhanced convolutional neural representation
  for relation extraction
Structural block driven - enhanced convolutional neural representation for relation extraction
Dongsheng Wang
Prayag Tiwari
S. Garg
Hongyin Zhu
P. Bruza
NAI
AI4TS
25
21
0
21 Mar 2021
Transformer Feed-Forward Layers Are Key-Value Memories
Transformer Feed-Forward Layers Are Key-Value Memories
Mor Geva
R. Schuster
Jonathan Berant
Omer Levy
KELM
24
741
0
29 Dec 2020
Learning Variational Word Masks to Improve the Interpretability of
  Neural Text Classifiers
Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers
Hanjie Chen
Yangfeng Ji
AAML
VLM
13
62
0
01 Oct 2020
When will the mist clear? On the Interpretability of Machine Learning
  for Medical Applications: a survey
When will the mist clear? On the Interpretability of Machine Learning for Medical Applications: a survey
A. Banegas-Luna
Jorge Pena-García
Adrian Iftene
F. Guadagni
P. Ferroni
Noemi Scarpato
Fabio Massimo Zanzotto
A. Bueno-Crespo
Horacio Pérez-Sánchez
OOD
13
1
0
01 Oct 2020
SHAP values for Explaining CNN-based Text Classification Models
SHAP values for Explaining CNN-based Text Classification Models
Wei Zhao
Tarun Joshi
V. Nair
Agus Sudjianto
FAtt
10
36
0
26 Aug 2020
Explainable CNN-attention Networks (C-Attention Network) for Automated
  Detection of Alzheimer's Disease
Explainable CNN-attention Networks (C-Attention Network) for Automated Detection of Alzheimer's Disease
Ning Wang
Mingxuan Chen
K. P. Subbalakshmi
20
22
0
25 Jun 2020
Generating Hierarchical Explanations on Text Classification via Feature
  Interaction Detection
Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection
Hanjie Chen
Guangtao Zheng
Yangfeng Ji
FAtt
33
91
0
04 Apr 2020
Linking Social Media Posts to News with Siamese Transformers
Linking Social Media Posts to News with Siamese Transformers
Jacob Danovitch
21
2
0
10 Jan 2020
A Framework for Explainable Text Classification in Legal Document Review
A Framework for Explainable Text Classification in Legal Document Review
Christian J. Mahoney
Jianping Zhang
Nathaniel Huber-Fliflet
Peter Gronvall
Haozhen Zhao
AILaw
14
32
0
19 Dec 2019
Detecting Local Insights from Global Labels: Supervised & Zero-Shot
  Sequence Labeling via a Convolutional Decomposition
Detecting Local Insights from Global Labels: Supervised & Zero-Shot Sequence Labeling via a Convolutional Decomposition
A. Schmaltz
19
8
0
04 Jun 2019
A causal framework for explaining the predictions of black-box
  sequence-to-sequence models
A causal framework for explaining the predictions of black-box sequence-to-sequence models
David Alvarez-Melis
Tommi Jaakkola
CML
229
201
0
06 Jul 2017
Symbolic, Distributed and Distributional Representations for Natural
  Language Processing in the Era of Deep Learning: a Survey
Symbolic, Distributed and Distributional Representations for Natural Language Processing in the Era of Deep Learning: a Survey
L. Ferrone
Fabio Massimo Zanzotto
34
37
0
02 Feb 2017
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
255
13,364
0
25 Aug 2014
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