Maria Liakata

Making the Most of Tweet-Inherent Features for Social Spam Detection on Twitter

2015 · arXiv (Cornell University)

Social spam produces a great amount of noise on social media services such as Twitter, which reduces the signal-to-noise ratio that both end users and data mining applications observe. Existing techniques on social spam detection …

Estimating predictive uncertainty for rumour verification models

2020

The inability to correctly resolve rumours circulating online can have harmful real-world consequences. We present a method for incorporating model and data uncertainty estimates into natural language processing models for automatic rumour verification. We show …

tBERT: Topic Models and BERT Joining Forces for Semantic Similarity Detection

2020

Semantic similarity detection is a fundamental task in natural language understanding. Adding topic information has been useful for previous feature-engineered semantic similarity models as well as neural models for other tasks. There is currently no …