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Found 2 papers, 1 papers with code
TopicBERT for Energy Efficient Document Classification
Our work thus focuses on optimizing the computational cost of fine-tuning for document classification.
Neural Architectures for Fine-Grained Propaganda Detection in News
To address the tasks of sentence (SLC) and fragment level (FLC) propaganda detection, we explore different neural architectures (e. g., CNN, LSTM-CRF and BERT) and extract linguistic (e. g., part-of-speech, named entity, readability, sentiment, emotion, etc.
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