3 citations · 3 across the 1 of their papers we have counts for
3 papers
cs.CL2019★ 3 cited
Latent Universal Task-Specific BERT
Alon Rozental, Zohar Kelrich, Daniel Fleischer
This paper describes a language representation model which combines the Bidirectional Encoder Representations from Transformers (BERT) learning mechanism described in Devlin et al.…
cs.CL2018
Amobee at IEST 2018: Transfer Learning from Language Models
Alon Rozental, Daniel Fleischer, Zohar Kelrich
This paper describes the system developed at Amobee for the WASSA 2018 implicit emotions shared task (IEST). The goal of this task was to predict the emotion expressed by missing w…
cs.CL2018
Amobee at SemEval-2018 Task 1: GRU Neural Network with a CNN Attention Mechanism for Sentiment Classification
Alon Rozental, Daniel Fleischer
This paper describes the participation of Amobee in the shared sentiment analysis task at SemEval 2018. We participated in all the English sub-tasks and the Spanish valence tasks.…