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Found 5 papers, 0 papers with code
Personality Trait Identification Using the Russian Feature Extraction Toolkit
Feature engineering is an important step in classical NLP pipelines, but machine learning engineers may not be aware of the signals to look for when processing foreign language text.
RU-ADEPT: Russian Anonymized Dataset with Eight Personality Traits
We believe this to be the first publicly-available dataset associating demographic and personality trait data with Russian-language social media content, the first paper to describe the collection of Dark Triad scores with texts across multiple Russian-language social media platforms, and to a limited extent, the first publicly-available dataset of personality traits to author content across several different social media sites.
Accenture at CheckThat! 2020: If you say so: Post-hoc fact-checking of claims using transformer-based models
We utilized BERT and RoBERTa models to identify claims in social media text a professional fact-checker should review, and rank these in priority order for the fact-checker.
