151 citations · 152 across the 5 of their papers we have counts for
9 papers
A Diagnostic Study of Explainability Techniques for Text Classification
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma +1
Recent developments in machine learning have introduced models that approach human performance at the cost of increased architectural complexity. Efforts to make the rationales beh…
Generating Label Cohesive and Well-Formed Adversarial Claims
Pepa Atanasova, Dustin Wright, Isabelle Augenstein
Adversarial attacks reveal important vulnerabilities and flaws of trained models. One potent type of attack are universal adversarial triggers, which are individual n-grams that, w…
Transformer Based Multi-Source Domain Adaptation
Dustin Wright, Isabelle Augenstein
In practical machine learning settings, the data on which a model must make predictions often come from a different distribution than the data it was trained on. Here, we investiga…
Uncovering Probabilistic Implications in Typological Knowledge Bases
Johannes Bjerva, Yova Kementchedjhieva, Ryan Cotterell +1
The study of linguistic typology is rooted in the implications we find between linguistic features, such as the fact that languages with object-verb word ordering tend to have post…
Unsupervised Discovery of Gendered Language through Latent-Variable Modeling
Alexander Hoyle, Wolf-Sonkin, Hanna Wallach +2
Studying the ways in which language is gendered has long been an area of interest in sociolinguistics. Studies have explored, for example, the speech of male and female characters…
Discourse-Aware Rumour Stance Classification in Social Media Using Sequential Classifiers
Arkaitz Zubiaga, Elena Kochkina, Maria Liakata +5
Rumour stance classification, defined as classifying the stance of specific social media posts into one of supporting, denying, querying or commenting on an earlier post, is becomi…