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News Classification

Papers

Showing 125 of 72 papers

TitleStatusHype
Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing ModelCode2
AraCOVID19-MFH: Arabic COVID-19 Multi-label Fake News and Hate Speech Detection DatasetCode1
N24News: A New Dataset for Multimodal News ClassificationCode1
Tri-Learn Graph Fusion Network for Attributed Graph ClusteringCode1
Cross-lingual Evidence Improves Monolingual Fake News DetectionCode1
MasakhaNEWS: News Topic Classification for African languagesCode1
IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian LanguagesCode1
Multiverse: Multilingual Evidence for Fake News DetectionCode1
Evaluating Various Tokenizers for Arabic Text ClassificationCode1
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over TimeCode1
KINNEWS and KIRNEWS: Benchmarking Cross-Lingual Text Classification for Kinyarwanda and KirundiCode1
A Self-Learning Multimodal Approach for Fake News Detection0
A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit0
An Empirical Assessment of the Qualitative Aspects of Misinformation in Health News0
Applying LLMs to Active Learning: Towards Cost-Efficient Cross-Task Text Classification without Manually Labeled Data0
Analyzing the Generalizability of Deep Contextualized Language Representations For Text Classification0
Fact vs. Opinion: the Role of Argumentation Features in News Classification0
Dick-Preston and Morbo at SemEval-2019 Task 4: Transfer Learning for Hyperpartisan News Detection0
CANAL -- Cyber Activity News Alerting Language Model: Empirical Approach vs. Expensive LLM0
An Exploration of Unreliable News Classification in Brazil and The U.S0
Analyzing ELMo and DistilBERT on Socio-political News Classification0
Climate-Eval: A Comprehensive Benchmark for NLP Tasks Related to Climate Change0
Developing and Evaluating Tiny to Medium-Sized Turkish BERT Models0
Computing with Subjectivity Lexicons0
Don't Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text0
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