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Found 7 papers, 0 papers with code
Amobee at SemEval-2020 Task 7: Regularization of Language Model Based Classifiers
This paper describes Amobee{'}s participation in SemEval-2020 task 7: {``}Assessing Humor in Edited News Headlines{''}, sub-tasks 1 and 2.
Adversarial Generation and Encoding of Nested Texts
Additionally we present a new adversarial model for long text generation and suggest a way to improve the coherence of the generated text by traversing its vector representation tree.
Latent Universal Task-Specific BERT
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 SemEval-2019 Tasks 5 and 6: Multiple Choice CNN Over Contextual Embedding
This article describes Amobee's participation in "HatEval: Multilingual detection of hate speech against immigrants and women in Twitter" (task 5) and "OffensEval: Identifying and Categorizing Offensive Language in Social Media" (task 6).
Amobee at IEST 2018: Transfer Learning from Language Models
This paper describes the system developed at Amobee for the WASSA 2018 implicit emotions shared task (IEST).
Amobee at SemEval-2018 Task 1: GRU Neural Network with a CNN Attention Mechanism for Sentiment Classification
This paper describes the participation of Amobee in the shared sentiment analysis task at SemEval 2018.
Amobee at SemEval-2017 Task 4: Deep Learning System for Sentiment Detection on Twitter
The algorithm reached the 3rd place on the 5-label classification task (sub-task C).
