CoTAR: Chain-of-Thought Attribution Reasoning with Multi-level Granularity

no code implementations • 16 Apr 2024 • Moshe Berchansky, Daniel Fleischer, Moshe Wasserblat, Peter Izsak

This approach focuses the reasoning process on generating an attribution-centric output.

Question Answering

Latent Universal Task-Specific BERT

no code implementations • 16 May 2019 • 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. (2018) with a generalization of the Universal Transformer model described in Dehghani et al. (2018).

Amobee at IEST 2018: Transfer Learning from Language Models

no code implementations • WS 2018 • Alon Rozental, Daniel Fleischer, Zohar Kelrich

This paper describes the system developed at Amobee for the WASSA 2018 implicit emotions shared task (IEST).

Transfer Learning

Amobee at SemEval-2018 Task 1: GRU Neural Network with a CNN Attention Mechanism for Sentiment Classification

no code implementations • SEMEVAL 2018 • Alon Rozental, Daniel Fleischer

This paper describes the participation of Amobee in the shared sentiment analysis task at SemEval 2018.

General Classification Ordinal Classification +3

Amobee at SemEval-2017 Task 4: Deep Learning System for Sentiment Detection on Twitter

no code implementations • SEMEVAL 2017 • Alon Rozental, Daniel Fleischer

The algorithm reached the 3rd place on the 5-label classification task (sub-task C).

General Classification regression +1