Matthew Purver

Detecting Summary-Worthy Sentences: The Effect of Discourse Features

2019

We examine the benefit of a variety of discourse and semantic features for the identification of summary-worthy content in narrative stories. Using logistic regression models, we find that the most informative features are those that …

Investigating cross-lingual training for offensive language detection

2021 · PeerJ Computer Science

Platforms that feature user-generated content (social media, online forums, newspaper comment sections etc.) have to detect and filter offensive speech within large, fast-changing datasets. While many automatic methods have been proposed and achieve good accuracies, …

Mono- and cross-lingual evaluation of representation language models on less-resourced languages

2025 · Computer Speech & Language

The current dominance of large language models in natural language processing is based on their contextual awareness. For text classification, text representation models, such as ELMo, BERT, and BERT derivatives, are typically fine-tuned for a …