Top Tweets for #MisinformationDetection
Listen to my narrated @Forbes article, "How #GenerativeAI Helps #PredictiveAI." #Largelanguagemodels can act as #predictivemodels. Here's an example for #misinformationdetection—and an introduction to #savingsecurves. https://t.co/I9oDcMZU9P #MLvaluation
Thanks to Dr. Tommaso Caselli for enriching our work on #MisinformationDetection! @tommaso_caselli works as an Assistant Professor at @GroNlp and has visited UKP Lab as a guest faculty for the past few weeks.
Learn more about Tommaso's work here: https://t.co/ebnPeHBZCa #NLProc
AI Unveils Truth:Battling Fake News in the Digital Era.
WATCH: https://t.co/KdtmAZi14x
#FakeNews
#MisinformationDetection
#DigitalIntegrity
#FactCheckingAI
#InfoAccuracy
#AIDecodesTruth
#CredibleContent
#AIvsMisinformation
#DigitalAgeTrust
#DataIntegrityAI
#techypreneur
🧵[1/3]🔍 Unmasking misinformation! Join CLAIMSCAN'23 @ #FIRE2023, a shared task on characterising claims in misleading content. 2 sub-tasks: Claim Detection & Claim Span Identification. 🔗https://t.co/64eZBjWf2I Stay tuned for more! #CLAIMSCAN23 #FIRE23 #MisinformationDetection
![lcs2lab's tweet photo. 🧵[1/3]🔍 Unmasking misinformation! Join CLAIMSCAN'23 @ #FIRE2023, a shared task on characterising claims in misleading content. 2 sub-tasks: Claim Detection & Claim Span Identification. 🔗https://t.co/64eZBjWf2I Stay tuned for more! #CLAIMSCAN23 #FIRE23 #MisinformationDetection https://t.co/9NWM0Btjdy](https://pbs.twimg.com/media/FzxEzNQWYAAbGoL.png)
Excited to share that our full paper:
A Passage Retrieval Transformer-based Re-ranking Model for Truthful Consumer Health Search. (Arvix soon), is accepted in the main research track at ECML PKDD 2023 @ECMLPKDD
#MisinformationDetection #MachineLearning
#InformationRetrieval
I am very happy to announce that our paper "Context-Aware #Misinformation Detection: A benchmark of Deep Learning Architectures using Word Embeddings" has been accepted for publication in the @IEEEAccess Journal! #DeepLearning #MachineLearning #MisinformationDetection
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