Search Results for author:
Found 6 papers, 1 papers with code
On the Usefulness of Personality Traits in Opinion-oriented Tasks
We use a deep bidirectional transformer to extract the Myers-Briggs personality type from user-generated data in a multi-label and multi-class classification setting.
A Roadmap for Multilingual, Multimodal Domain Independent Deception Detection
This paper calls for a comprehensive investigation into the complexities of deceptive language across linguistic boundaries and modalities within the realm of computer security and natural language processing and the possibility of using multilingual transformer models and labeled data in various languages to universally address the task of deception detection.
Domain-Independent Deception: A New Taxonomy and Linguistic Analysis
Internet-based economies and societies are drowning in deceptive attacks.
Improving Authorship Verification using Linguistic Divergence
It is also one of the first to use Deep Language Models in this setting.
A General Approach to Domain Adaptation with Applications in Astronomy
The ability to build a model on a source task and subsequently adapt such model on a new target task is a pervasive need in many astronomical applications.
