Search Results for author:
Found 2 papers, 1 papers with code
TLDR at SemEval-2022 Task 1: Using Transformers to Learn Dictionaries and Representations
We propose a pair of deep learning models, which employ unsupervised pretraining, attention mechanisms and contrastive learning for representation learning from dictionary definitions, and definition modeling from such representations.
HCMS at SemEval-2020 Task 9: A Neural Approach to Sentiment Analysis for Code-Mixed Texts
Problems involving code-mixed language are often plagued by a lack of resources and an absence of materials to perform sophisticated transfer learning with.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
