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Found 5 papers, 3 papers with code
Not Good Times for Lies: Misinformation Detection on the Russia-Ukraine War, COVID-19, and Refugees
Misinformation spread in online social networks is an urgent-to-solve problem having harmful consequences that threaten human health, public safety, economics, and so on.
Fast-FNet: Accelerating Transformer Encoder Models via Efficient Fourier Layers
FNet achieves competitive performances concerning the original transformer encoder model while accelerating training process by removing the computational burden of the attention mechanism.
Impact of Tokenization on Language Models: An Analysis for Turkish
Furthermore, we find that increasing the vocabulary size improves the performance of Morphological and Word-level tokenizers more than that of de facto tokenizers.
Large-Scale Hate Speech Detection with Cross-Domain Transfer
The experimental results supported by statistical tests show that Transformer-based language models outperform conventional bag-of-words and neural models by at least 5% in English and 10% in Turkish for large-scale hate speech detection.
Imparting Interpretability to Word Embeddings while Preserving Semantic Structure
In other words, we align words that are already determined to be related, along predefined concepts.
