Monthly Archives: October 2022

At the intersection of classical signal processing and machine learning, AykutKocLab has made a significant contribution by introducing an advanced and efficient transformer model (FrFNet) that utilizes the fractional Fourier transform (FrFT) to mix the tokens of the transformer. The FrFNet has been described in the paper “Fractional Fourier Transform Meets Transformer Encoder” published in […]

We show that Transformer-based language models outperform bag-of-words and deep learning models in gender identity-based hate speech detection for both English and Turkish. Second, we find that gender identity-based hate speech detection can be improved by removing the gender bias in neural embeddings since gender-biased words can have offensive or hateful implications. The paper can […]