Limit search to available items
Book Cover
Author International Workshop on Combating Online Hostile Posts in Regional Languages During Emergency Situation (1st : 2021 : Online)

Title Combating online hostile posts in regional languages during emergency situation : first international workshop, CONSTRAINT 2021, collocated with AAAI 2021, virtual event, February 8, 2021 : revised selected papers / Tanmoy Chakraborty, Kai Shu, H. Russell Bernard, Huan Liu, Md Shad Akhtar (eds.)
Published Cham : Springer, [2021]


Description 1 online resource (xi, 258 pages) : illustrations
Series Communications in computer and information science, 1865-0929 ; 1402
Communications in computer and information science ; 1402. 1865-0929
Contents Identifying Offensive Content in Social Media Posts -- Identification and Classification of Textual Aggression in Social Media: Resource Creation and Evaluation -- Fighting an Infodemic: COVID-19 Fake News Dataset -- Revealing the Blackmarket Retweet Game: A Hybrid Approach -- Overview of CONSTRAINT 2021 Shared Tasks: Detecting English COVID-19 Fake News and Hindi Hostile Posts -- LaDiff ULMFiT: A Layer Differentiated training approach for ULMFiT -- Extracting latent information from datasets in The CONSTRAINT-2020 shared task on the hostile post detection -- Fake news and hostile posts detection using an ensemble learning model -- Transformer-based Language Model Fine-tuning Methods for COVID-19 Fake News Detection -- Tackling the infodemic : Analysis using Transformer based models -- Exploring Text-transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in English -- g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News Detection -- Model Generalization on COVID-19 Fake News Detection -- ECOL: Early Detection of COVID Lies Using Content, Prior Knowledge and Source Information -- Evaluating Deep Learning Approaches for Covid19 Fake News Detection -- A Heuristic-driven Ensemble Framework for COVID-19 Fake News Detection -- Identification of COVID-19 related Fake News via Neural Stacking -- Fake News Detection System using XLNet model with Topic Distributions: CONSTRAINT@AAAI2021 Shared Task -- Coarse and Fine-Grained Hostility Detection in Hindi Posts using Fine Tuned Multilingual Embeddings -- Hostility Detection in Hindi leveraging Pre-Trained Language Models -- Stacked embeddings and multiple fine-tuned XLM-RoBERTa models for Enhanced hostility identification -- Task Adaptive Pretraining of Transformers for Hostility Detection -- Divide and Conquer: An Ensemble Approach for Hostile Post Detection in Hindi
Summary This book constitutes selected and revised papers from the First International Workshop on Combating Online Hostile Posts in Regional Languages during Emergency Situation, CONSTRAINT 2021, Collocated with AAAI 2021, held as virtual event, in February 2021. The 14 full papers and 9 short papers presented were thoroughly reviewed and selected from 62 qualified submissions. The papers present interdisciplinary approaches on multilingual social media analytics and non-conventional ways of combating online hostile posts
Notes International conference proceedings
Includes author index
Online resource; title from PDF title page (SpringerLink, viewed April 19, 2021)
Subject Fake news -- Data processing -- Congresses
Online social networks -- Data processing -- Congresses
Hostility (Psychology) -- Congresses
COVID-19 Pandemic, 2020- -- Congresses
Hostility (Psychology)
Genre/Form Conference papers and proceedings.
Conference papers and proceedings.
Actes de congrès.
Form Electronic book
Author Chakraborty, Tanmoy, editor
Shu, Kai, editor.
Bernard, H. Russell, editor
Liu, Huan, 1958- editor.
Akhtar, Md Shad, editor
AAAI Conference on Artificial Intelligence (35th : 2021 : Online)
ISBN 9783030736965
Other Titles CONSTRAINT 2021