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Improved Abusive Comment Moderation with User Embeddings

Improved Abusive Comment Moderation with User Embeddings

11 August 2017
John Pavlopoulos
Prodromos Malakasiotis
Juli Bakagianni
Ion Androutsopoulos
ArXiv (abs)PDFHTML

Papers citing "Improved Abusive Comment Moderation with User Embeddings"

11 / 11 papers shown
Title
Putting Context in Context: the Impact of Discussion Structure on Text
  Classification
Putting Context in Context: the Impact of Discussion Structure on Text ClassificationConference of the European Chapter of the Association for Computational Linguistics (EACL), 2024
Nicolo Penzo
Antonio Longa
Bruno Lepri
Sara Tonelli
Marco Guerini
177
1
0
05 Feb 2024
CoSyn: Detecting Implicit Hate Speech in Online Conversations Using a
  Context Synergized Hyperbolic Network
CoSyn: Detecting Implicit Hate Speech in Online Conversations Using a Context Synergized Hyperbolic NetworkConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Sreyan Ghosh
Manan Suri
Purva Chiniya
Utkarsh Tyagi
Sonal Kumar
Dinesh Manocha
208
19
0
02 Mar 2023
Large-Scale Hate Speech Detection with Cross-Domain Transfer
Large-Scale Hate Speech Detection with Cross-Domain TransferInternational Conference on Language Resources and Evaluation (LREC), 2022
Cagri Toraman
Furkan Şahinuç
E. Yilmaz
331
76
0
02 Mar 2022
Toxicity Detection can be Sensitive to the Conversational Context
Toxicity Detection can be Sensitive to the Conversational Context
Alexandros Xenos
John Pavlopoulos
Ion Androutsopoulos
Lucas Dixon
Jeffrey Scott Sorensen
Leo Laugier
145
10
0
19 Nov 2021
Not All Comments are Equal: Insights into Comment Moderation from a
  Topic-Aware Model
Not All Comments are Equal: Insights into Comment Moderation from a Topic-Aware Model
Elaine Zosa
Ravi Shekhar
Mladen Karan
Matthew Purver
138
2
0
21 Sep 2021
Countering Online Hate Speech: An NLP Perspective
Countering Online Hate Speech: An NLP Perspective
Mudit Chaudhary
Chandni Saxena
Helen Meng
101
21
0
07 Sep 2021
Modeling Users and Online Communities for Abuse Detection: A Position on
  Ethics and Explainability
Modeling Users and Online Communities for Abuse Detection: A Position on Ethics and ExplainabilityConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Pushkar Mishra
H. Yannakoudakis
Ekaterina Shutova
230
8
0
31 Mar 2021
NLRG at SemEval-2021 Task 5: Toxic Spans Detection Leveraging BERT-based
  Token Classification and Span Prediction Techniques
NLRG at SemEval-2021 Task 5: Toxic Spans Detection Leveraging BERT-based Token Classification and Span Prediction TechniquesInternational Workshop on Semantic Evaluation (SemEval), 2021
Gunjan Chhablani
Abheesht Sharma
Harshit Pandey
Yash Bhartia
S. Suthaharan
91
14
0
24 Feb 2021
Tackling Online Abuse: A Survey of Automated Abuse Detection Methods
Tackling Online Abuse: A Survey of Automated Abuse Detection Methods
Pushkar Mishra
H. Yannakoudakis
Ekaterina Shutova
335
84
0
13 Aug 2019
Abusive Language Detection with Graph Convolutional Networks
Abusive Language Detection with Graph Convolutional Networks
Pushkar Mishra
Marco Del Tredici
H. Yannakoudakis
Ekaterina Shutova
GNN
138
80
0
05 Apr 2019
Context-Aware Attention for Understanding Twitter Abuse
Context-Aware Attention for Understanding Twitter Abuse
Tuhin Chakrabarty
Kilol Gupta
172
32
0
24 Sep 2018
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