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Found 4 papers, 1 papers with code
Bidirectional Domain Adaptation Using Weighted Multi-Task Learning
In order to determine towhat degree the data imbalance between two domains and the domain differences affect results, we also carry out an experiment with two imbalanced in-domain treebanks and show that loss weighting also improves performance in an in-domain setting.
Study of sampling methods in sentiment analysis of imbalanced data
This work investigates the application of sampling methods for sentiment analysis on two different highly imbalanced datasets.
Detecting Linguistic Traces of Depression in Topic-Restricted Text: Attending to Self-Stigmatized Depression with NLP
We find significant differences in the language used by depressed users under the two conditions as well as a difference in the ability of machine learning algorithms to correctly detect depression.
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