3 papers
cs.CL2022
Enhancing Speech Recognition Decoding via Layer Aggregation
Tomer Wullach, Shlomo E. Chazan
Recently proposed speech recognition systems are designed to predict using representations generated by their top layers, employing greedy decoding which isolates each timestep fro…
cs.CL2021
Fight Fire with Fire: Fine-tuning Hate Detectors using Large Samples of Generated Hate Speech
Tomer Wullach, Amir Adler, Einat Minkov
Automatic hate speech detection is hampered by the scarcity of labeled datasetd, leading to poor generalization. We employ pretrained language models (LMs) to alleviate this data b…
cs.CL2020
Towards Hate Speech Detection at Large via Deep Generative Modeling
Tomer Wullach, Amir Adler, Einat Minkov
Hate speech detection is a critical problem in social media platforms, being often accused for enabling the spread of hatred and igniting physical violence. Hate speech detection r…