Deception detection, new paper at EACL2021!
Glad to announce that the paper
“BERTective, or detective BERT: Language Models and Contextual Information for Deception Detection”
How do you spot a lie? It is a challenging task, with potential impact on security and private and public safety. Recent successful models look for different cues of deception, following multi-modal approaches when possible.
However, typically the focus is on the single communicative acts, overlooking the preceding parts of the dialogue. This is a limitation, as any communication takes place in a context, not in the vacuum.
Also, most studies rely on data collected in laboratory or online games/simulations, which reduces their findings' generalisability to high-stakes scenarios.
We study deception on a corpus of deceptive statements in natural environment, and for the first time
we train deep neural models that incorporate information from the texts' linguistic context.
We establish a new state-of-the-art in identifying deception, and discuss how the contextual information can be exploited by neural models.%, both those trained from scratch and those based on transfer learning strategies.