Tommaso Fornaciari
Tommaso Fornaciari
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BERTective: Language Models and Contextual Information for Deception Detection
Spotting a lie is challenging but has an enormous potential impact on security as well as private and public safety. Several NLP methods have been proposed to classify texts as truthful or deceptive. In most cases, however, the target texts’ …
"You Sound Just Like Your Father" Commercial Machine Translation Systems Include Stylistic Biases
A Case for Soft Loss Functions
Helpful or Hierarchical? Predicting the Communicative Strategies of Chat Participants, and their Impact on Success
Dense Node Representation for Geolocation
Geolocation with Attention-Based Multitask Learning Models
Identifying Linguistic Areas for Geolocation
Improving Author Attribute Prediction by Retrofitting Linguistic Representations with Homophily
Identifying fake Amazon reviews as learning from crowds
The effect of personality type on deceptive communication style
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