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News Classification

Papers

Showing 2650 of 72 papers

TitleStatusHype
Intrinsic User-Centric Interpretability through Global Mixture of ExpertsCode0
Exploring Tokenization Strategies and Vocabulary Sizes for Enhanced Arabic Language ModelsCode0
Knowledge Graph informed Fake News Classification via Heterogeneous Representation EnsemblesCode0
Comprehensive dataset of user-submitted articles with ideological and extreme bias from RedditCode0
Classifying the Ideological Orientation of User-Submitted Texts in Social MediaCode0
A Novel Perspective to Look At Attention: Bi-level Attention-based Explainable Topic Modeling for News ClassificationCode0
A Dataset and Strong Baselines for Classification of Czech News TextsCode0
LLM Teacher-Student Framework for Text Classification With No Manually Annotated Data: A Case Study in IPTC News Topic ClassificationCode0
Synthetic News Generation for Fake News Classification0
TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning0
The effect of stemming and lemmatization on Portuguese fake news text classification0
The Role of User Profile for Fake News Detection0
The use of Data Augmentation as a technique for improving neural network accuracy in detecting fake news about COVID-190
Transliteration: A Simple Technique For Improving Multilingual Language Modeling0
Word Embedding Algorithms as Generalized Low Rank Models and their Canonical Form0
A Hybrid Transformer Model for Fake News Detection: Leveraging Bayesian Optimization and Bidirectional Recurrent Unit0
Analysis of Resource-efficient Predictive Models for Natural Language Processing0
Analyzing ELMo and DistilBERT on Socio-political News Classification0
Analyzing the Generalizability of Deep Contextualized Language Representations For Text Classification0
An Empirical Assessment of the Qualitative Aspects of Misinformation in Health News0
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP0
An Empirical Survey of Data Augmentation \ Limited Data Learning in NLP0
An Exploration of Unreliable News Classification in Brazil and The U.S0
Applying LLMs to Active Learning: Towards Cost-Efficient Cross-Task Text Classification without Manually Labeled Data0
A Self-Learning Multimodal Approach for Fake News Detection0
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