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Found 6 papers, 0 papers with code
Sentence-Level BERT and Multi-Task Learning of Age and Gender in Social Media
In this work we exploit a newly-created Arabic dataset with ground truth age and gender labels to learn these attributes both individually and in a multi-task setting at the sentence level.
DiaNet: BERT and Hierarchical Attention Multi-Task Learning of Fine-Grained Dialect
Prediction of language varieties and dialects is an important language processing task, with a wide range of applications.
Happy Together: Learning and Understanding Appraisal From Natural Language
In this paper, we explore various approaches for learning two types of appraisal components from happy language.
UBC-NLP at SemEval-2019 Task 6:Ensemble Learning of Offensive Content With Enhanced Training Data
We examine learning offensive content on Twitter with limited, imbalanced data.
UBC-NLP at SemEval-2019 Task 4: Hyperpartisan News Detection With Attention-Based Bi-LSTMs
We present our deep learning models submitted to the SemEval-2019 Task 4 competition focused at Hyperpartisan News Detection.
UBC-NLP at SemEval-2019 Task 6: Ensemble Learning of Offensive Content With Enhanced Training Data
We examine learning offensive content on Twitter with limited, imbalanced data.
