001435864 000__ 05508cam\a2200697\i\4500
001435864 001__ 1435864
001435864 003__ OCoLC
001435864 005__ 20230309003957.0
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001435864 020__ $$a9783030736965$$q(electronic bk.)
001435864 020__ $$a3030736962$$q(electronic bk.)
001435864 020__ $$z9783030736958
001435864 0247_ $$a10.1007/978-3-030-73696-5$$2doi
001435864 035__ $$aSP(OCoLC)1246482751
001435864 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dOCLCO$$dOCLCF$$dOCL$$dUKAHL$$dOCLCO$$dOCLCQ$$dOCLCO$$dCOM$$dOCLCQ
001435864 049__ $$aISEA
001435864 050_4 $$aPN4784.F27
001435864 08204 $$a006.7/54$$223
001435864 1112_ $$aInternational Workshop on Combating Online Hostile Posts in Regional Languages During Emergency Situation$$n(1st :$$d2021 :$$cOnline)
001435864 24510 $$aCombating online hostile posts in regional languages during emergency situation :$$bfirst international workshop, CONSTRAINT 2021, collocated with AAAI 2021, virtual event, February 8, 2021 : revised selected papers /$$cTanmoy Chakraborty, Kai Shu, H. Russell Bernard, Huan Liu, Md Shad Akhtar (eds.).
001435864 24630 $$aCONSTRAINT 2021
001435864 264_1 $$aCham :$$bSpringer,$$c[2021]
001435864 300__ $$a1 online resource (xi, 258 pages) :$$billustrations
001435864 336__ $$atext$$btxt$$2rdacontent
001435864 337__ $$acomputer$$bc$$2rdamedia
001435864 338__ $$aonline resource$$bcr$$2rdacarrier
001435864 4901_ $$aCommunications in computer and information science,$$x1865-0929 ;$$v1402
001435864 500__ $$aInternational conference proceedings.
001435864 500__ $$aIncludes author index.
001435864 5050_ $$aIdentifying Offensive Content in Social Media Posts -- Identification and Classification of Textual Aggression in Social Media: Resource Creation and Evaluation -- Fighting an Infodemic: COVID-19 Fake News Dataset -- Revealing the Blackmarket Retweet Game: A Hybrid Approach -- Overview of CONSTRAINT 2021 Shared Tasks: Detecting English COVID-19 Fake News and Hindi Hostile Posts -- LaDiff ULMFiT: A Layer Differentiated training approach for ULMFiT -- Extracting latent information from datasets in The CONSTRAINT-2020 shared task on the hostile post detection -- Fake news and hostile posts detection using an ensemble learning model -- Transformer-based Language Model Fine-tuning Methods for COVID-19 Fake News Detection -- Tackling the infodemic : Analysis using Transformer based models -- Exploring Text-transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in English -- g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News Detection -- Model Generalization on COVID-19 Fake News Detection -- ECOL: Early Detection of COVID Lies Using Content, Prior Knowledge and Source Information -- Evaluating Deep Learning Approaches for Covid19 Fake News Detection -- A Heuristic-driven Ensemble Framework for COVID-19 Fake News Detection -- Identification of COVID-19 related Fake News via Neural Stacking -- Fake News Detection System using XLNet model with Topic Distributions: CONSTRAINT@AAAI2021 Shared Task -- Coarse and Fine-Grained Hostility Detection in Hindi Posts using Fine Tuned Multilingual Embeddings -- Hostility Detection in Hindi leveraging Pre-Trained Language Models -- Stacked embeddings and multiple fine-tuned XLM-RoBERTa models for Enhanced hostility identification -- Task Adaptive Pretraining of Transformers for Hostility Detection -- Divide and Conquer: An Ensemble Approach for Hostile Post Detection in Hindi.
001435864 506__ $$aAccess limited to authorized users.
001435864 520__ $$aThis book constitutes selected and revised papers from the First International Workshop on Combating Online Hostile Posts in Regional Languages during Emergency Situation, CONSTRAINT 2021, Collocated with AAAI 2021, held as virtual event, in February 2021. The 14 full papers and 9 short papers presented were thoroughly reviewed and selected from 62 qualified submissions. The papers present interdisciplinary approaches on multilingual social media analytics and non-conventional ways of combating online hostile posts.
001435864 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 19, 2021).
001435864 647_7 $$aCOVID-19 Pandemic$$d(2020- )$$2fast$$0(OCoLC)fst02024716
001435864 650_0 $$aFake news$$xData processing$$vCongresses.
001435864 650_0 $$aOnline social networks$$xData processing$$vCongresses.
001435864 650_0 $$aHostility (Psychology)$$vCongresses.
001435864 650_0 $$aCOVID-19 Pandemic, 2020-$$vCongresses.
001435864 650_6 $$aFausses nouvelles$$xInformatique$$vCongrès.
001435864 650_6 $$aRéseaux sociaux (Internet)$$xInformatique$$vCongrès.
001435864 650_6 $$aHostilité (Psychologie)$$vCongrès.
001435864 650_6 $$aPandémie de COVID-19, 2020-$$vCongrès.
001435864 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001435864 655_7 $$aConference papers and proceedings.$$2lcgft
001435864 655_7 $$aActes de congrès.$$2rvmgf
001435864 655_0 $$aElectronic books.
001435864 7001_ $$aChakraborty, Tanmoy,$$eeditor.
001435864 7001_ $$aShu, Kai,$$eeditor.
001435864 7001_ $$aBernard, H. Russell,$$eeditor.
001435864 7001_ $$aLiu, Huan,$$d1958-$$eeditor.
001435864 7001_ $$aAkhtar, Md Shad,$$eeditor.
001435864 7112_ $$aAAAI Conference on Artificial Intelligence$$n(35th :$$d2021 :$$cOnline)
001435864 830_0 $$aCommunications in computer and information science ;$$v1402.$$x1865-0929
001435864 852__ $$bebk
001435864 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-73696-5$$zOnline Access$$91397441.1
001435864 909CO $$ooai:library.usi.edu:1435864$$pGLOBAL_SET
001435864 980__ $$aBIB
001435864 980__ $$aEBOOK
001435864 982__ $$aEbook
001435864 983__ $$aOnline
001435864 994__ $$a92$$bISE