Samuele D’Avenia will provide a brief overview on statistical methods commonly used in NLP, with a focus on common errors.
Abstract
Statistical significance testing is widely used in Natural Language Processing, yet its application is often incomplete or misleading.
This talk provides a high-level overview of common statistical tools employed in NLP research and highlights several recurring issues that can compromise the interpretation of experimental results.
We will mainly focus on hypothesis testing, highlighting the multiple comparison and the large sample issues, while also discussing current practices.
Additionally, we will provide a brief overview of the current practices within the Italian NLP community.
When: Friday, 10th of July, 11:30
Where: Sala Conferenze, 3rd floor