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A Survey on Hate Speech Detection using Natural Language Processing
Anna Schmidt
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Michael Wiegand
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Paper Details:
Month: April
Year: 2017
Location: Valencia, Spain
Venue:
SocialNLP |
WS |
Citations
URL
Sequence Classification with Human Attention
Maria Barrett
|
Joachim Bingel
|
Nora Hollenstein
|
Marek Rei
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Anders Søgaard
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Inducing a Lexicon of Abusive Words – a Feature-Based Approach
Michael Wiegand
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Josef Ruppenhofer
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Anna Schmidt
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Clayton Greenberg
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Leveraging Intra-User and Inter-User Representation Learning for Automated Hate Speech Detection
Jing Qian
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Mai ElSherief
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Elizabeth Belding
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William Yang Wang
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Detecting Online Hate Speech Using Context Aware Models
Lei Gao
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Ruihong Huang
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Detecting Hate Speech in Social Media
Shervin Malmasi
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Marcos Zampieri
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Class-based Prediction Errors to Detect Hate Speech with Out-of-vocabulary Words
Joan Serrà
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Ilias Leontiadis
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Dimitris Spathis
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Gianluca Stringhini
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Jeremy Blackburn
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Athena Vakali
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Understanding Abuse: A Typology of Abusive Language Detection Subtasks
Zeerak Waseem
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Thomas Davidson
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Dana Warmsley
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Ingmar Weber
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evision PDF of '#MeToo Alexa: How Conversational Systems Respond to Sexual Harassment
Amanda Cercas Curry
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Verena Rieser
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A Dataset of Hindi-English Code-Mixed Social Media Text for Hate Speech Detection
Aditya Bohra
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Deepanshu Vijay
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Vinay Singh
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Syed Sarfaraz Akhtar
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Manish Shrivastava
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Detecting Offensive Tweets in Hindi-English Code-Switched Language
Puneet Mathur
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Rajiv Shah
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Ramit Sawhney
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Debanjan Mahata
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Benchmarking Aggression Identification in Social Media
Ritesh Kumar
|
Atul Kr. Ojha
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Shervin Malmasi
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Marcos Zampieri
|
IRIT at TRAC 2018
Faneva Ramiandrisoa
|
Josiane Mothe
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Fully Connected Neural Network with Advance Preprocessor to Identify Aggression over Facebook and Twitter
Kashyap Raiyani
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Teresa Gonçalves
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Paulo Quaresma
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Vitor Beires Nogueira
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LSTMs with Attention for Aggression Detection
Nishant Nikhil
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Ramit Pahwa
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Mehul Kumar Nirala
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Rohan Khilnani
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TRAC-1 Shared Task on Aggression Identification: IIT(ISM)@COLING’18
Ritesh Kumar
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Guggilla Bhanodai
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Rajendra Pamula
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Maheshwar Reddy Chennuru
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A K-Competitive Autoencoder for Aggression Detection in Social Media Text
Promita Maitra
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Ritesh Sarkhel
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Aggression Detection in Social Media: Using Deep Neural Networks, Data Augmentation, and Pseudo Labeling
Segun Taofeek Aroyehun
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Alexander Gelbukh
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Aggressive Language Identification Using Word Embeddings and Sentiment Features
Constantin Orăsan
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Aggression Detection in Social Media using Deep Neural Networks
Sreekanth Madisetty
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Maunendra Sankar Desarkar
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Merging Datasets for Aggressive Text Identification
Paula Fortuna
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José Ferreira
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Luiz Pires
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Guilherme Routar
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Sérgio Nunes
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Aggression Identification Using Deep Learning and Data Augmentation
Julian Risch
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Ralf Krestel
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Delete or not Delete? Semi-Automatic Comment Moderation for the Newsroom
Julian Risch
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Ralf Krestel
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Combining Shallow and Deep Learning for Aggressive Text Detection
Viktor Golem
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Mladen Karan
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Jan Šnajder
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Filtering Aggression from the Multilingual Social Media Feed
Sandip Modha
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Prasenjit Majumder
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Thomas Mandl
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Hate Speech Dataset from a White Supremacy Forum
Ona de Gibert
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Naiara Perez
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Aitor García-Pablos
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Montse Cuadros
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Challenges for Toxic Comment Classification: An In-Depth Error Analysis
Betty van Aken
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Julian Risch
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Ralf Krestel
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Alexander Löser
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Improving Moderation of Online Discussions via Interpretable Neural Models
Andrej Švec
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Matúš Pikuliak
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Marián Šimko
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Mária Bieliková
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Interpreting Neural Network Hate Speech Classifiers
Cindy Wang
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Comparative Studies of Detecting Abusive Language on Twitter
Younghun Lee
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Seunghyun Yoon
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Kyomin Jung
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Learning Representations for Detecting Abusive Language
Magnus Sahlgren
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Tim Isbister
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Fredrik Olsson
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evision PDF of 'The Linguistic Ideologies of Deep Abusive Language Classification
Michael Castelle
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https://en.wikipedia.org/wiki/List_
https://en.wikipedia.org/wiki/List_
https://en.wikipedia.org/wiki/List_
http://whisper.sh
http://xanga.com
Field Of Study
Linguistic Trends
Discourse
Embeddings
Task
Sentiment Analysis
Approach
Deep Learning
Language
English
Dataset
Social Media
Twitter
Blogs
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