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1809.08037
Cited By
Understanding Convolutional Neural Networks for Text Classification
21 September 2018
Alon Jacovi
Oren Sar Shalom
Yoav Goldberg
FAtt
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Papers citing
"Understanding Convolutional Neural Networks for Text Classification"
21 / 21 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
Dana Roemling
Yves Scherrer
Aleksandra Miletic
53
0
0
29 Apr 2024
Continual Graph Convolutional Network for Text Classification
Tiandeng Wu
Qijiong Liu
Yinhao Cao
yao. huang
Xiao-Ming Wu
Jiandong Ding
GNN
21
10
0
09 Apr 2023
Explainable AI for Bioinformatics: Methods, Tools, and Applications
Md. Rezaul Karim
Tanhim Islam
Oya Beyan
Christoph Lange
Michael Cochez
Dietrich-Rebholz Schuhmann
Stefan Decker
29
68
0
25 Dec 2022
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
Sanskar Soni
S. Chouhan
S. Rathore
33
95
0
10 Mar 2022
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
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
Dongsheng Wang
Prayag Tiwari
S. Garg
Hongyin Zhu
P. Bruza
NAI
AI4TS
27
21
0
21 Mar 2021
Transformer Feed-Forward Layers Are Key-Value Memories
Mor Geva
R. Schuster
Jonathan Berant
Omer Levy
KELM
27
741
0
29 Dec 2020
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
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
Wei Zhao
Tarun Joshi
V. Nair
Agus Sudjianto
FAtt
12
36
0
26 Aug 2020
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
Hanjie Chen
Guangtao Zheng
Yangfeng Ji
FAtt
36
91
0
04 Apr 2020
Linking Social Media Posts to News with Siamese Transformers
Jacob Danovitch
24
2
0
10 Jan 2020
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
A. Schmaltz
19
8
0
04 Jun 2019
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
L. Ferrone
Fabio Massimo Zanzotto
34
37
0
02 Feb 2017
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
255
13,364
0
25 Aug 2014
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