Weakly Supervised Method

A weakly-supervised method is applied to anonymized queries to extract lexical interpre- tations of compound noun phrases (e.g., “for- tune 500 companies”). The interpretations explain the subsuming role (“listed in”) …...

AbstractDuring the 2016 United States presidential election, politicians have increasingly used Twitter to express their beliefs, stances on current political issues, and reactions concerning national and international events. Given the …...

AbstractWe describe a weakly-supervised method for training deep learning models for the task of ad-hoc document retrieval. Our method is based on generative and discriminative models that are trained using …...

AbstractContextualised embeddings such as BERT have become de facto state-of-the-art references in many NLP applications, thanks to their impressive performances. However, their opaqueness makes it hard to interpret their behaviour. …...

AbstractWe study the problem of performing automatic stance classification on social media with neural architectures such as BERT. Although these architectures deliver impressive results, their level is not yet comparable …...