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書名・著者名等
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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 / edited by Tanmoy Chakraborty, Kai Shu, H. Russell Bernard, Huan Liu, Md Shad Akhtar
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資料種別
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リモートファイル
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版
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1st ed. 2021
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出版者・出版年
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Cham : Springer International Publishing : Imprint: Springer , 2021
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形状・大きさ
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XI, 258 p. 19 illus : online resource
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巻号情報
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シリーズ名等
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Communications in Computer and Information Science <> 1402//a
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内容著作注記
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Identifying Offensive Content in Social Media Posts
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内容著作注記
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Identification and Classification of Textual Aggression in Social Media: Resource Creation and Evaluation
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内容著作注記
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Fighting an Infodemic: COVID-19 Fake News Dataset
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内容著作注記
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Revealing the Blackmarket Retweet Game: A Hybrid Approach
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内容著作注記
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Overview of CONSTRAINT 2021 Shared Tasks: Detecting English COVID-19 Fake News and Hindi Hostile Posts
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内容著作注記
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LaDiff ULMFiT: A Layer Differentiated training approach for ULMFiT
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内容著作注記
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Extracting latent information from datasets in The CONSTRAINT-2020 shared task on the hostile post detection
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内容著作注記
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Fake news and hostile posts detection using an ensemble learning model
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内容著作注記
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Transformer-based Language Model Fine-tuning Methods for COVID-19 Fake News Detection
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内容著作注記
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Tackling the infodemic : Analysis using Transformer based models
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内容著作注記
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Exploring Text-transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in English
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内容著作注記
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g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News Detection
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内容著作注記
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Model Generalization on COVID-19 Fake News Detection
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内容著作注記
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ECOL: Early Detection of COVID Lies Using Content, Prior Knowledge and Source Information
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内容著作注記
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Evaluating Deep Learning Approaches for Covid19 Fake News Detection
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内容著作注記
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A Heuristic-driven Ensemble Framework for COVID-19 Fake News Detection
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内容著作注記
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Identification of COVID-19 related Fake News via Neural Stacking
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内容著作注記
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Fake News Detection System using XLNet model with Topic Distributions: CONSTRAINT@AAAI2021 Shared Task
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内容著作注記
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Coarse and Fine-Grained Hostility Detection in Hindi Posts using Fine Tuned Multilingual Embeddings
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内容著作注記
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Hostility Detection in Hindi leveraging Pre-Trained Language Models
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内容著作注記
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Stacked embeddings and multiple fine-tuned XLM-RoBERTa models for Enhanced hostility identification
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内容著作注記
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Task Adaptive Pretraining of Transformers for Hostility Detection
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内容著作注記
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Divide and Conquer: An Ensemble Approach for Hostile Post Detection in Hindi
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注記
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This book constitutes selected and revised papers from the First International Workshop on Combating On line Ho st ile Posts in Regional Languages dur ing Emerge ncy Si tuation, 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
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NCID
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9783030736972
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本文の言語
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英語
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著者リンク
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Chakraborty, Tanmoy <> editor
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著者リンク
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Shu, Kai <> editor
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著者リンク
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Bernard, H. Russell <> editor
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著者リンク
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Liu, Huan <> editor
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著者リンク
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Akhtar, Md Shad <> editor
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著者リンク
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SpringerLink (Online service) <>
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分類
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DC23:005.7
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件名
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Database management
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件名
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Artificial intelligence
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件名
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Social sciences—Data processing
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件名
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Application software
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件名
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Database Management System
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件名
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Artificial Intelligence
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件名
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Computer Application in Social and Behavioral Sciences
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件名
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Computer and Information Systems Applications
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電子書籍・雑誌へアクセス
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https://doi.org/10.1007/978-3-030-73696-5
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