Multitask semi-supervised learning for class-imbalanced discourse classification

A Spangher, J May, SR Shiang… - Proceedings of the 2021 …, 2021 - aclanthology.org
As labeling schemas evolve over time, small differences can render datasets following older
schemas unusable. This prevents researchers from building on top of previous annotation …

QURATOR: innovative technologies for content and data curation

G Rehm, P Bourgonje, S Hegele, F Kintzel… - ar** NLP applications for content curation
J Moreno-Schneider, M Ostendorff, K Schulz… - Language Resources …, 2024 - Springer
Time and again we are faced, in a number of collaborative research projects, with the
challenge of interconnecting various language processing tools to implement certain …

Multitask learning for class-imbalanced discourse classification

A Spangher, J May, S Shiang, L Deng - arxiv preprint arxiv:2101.00389, 2021 - arxiv.org
Small class-imbalanced datasets, common in many high-level semantic tasks like discourse
analysis, present a particular challenge to current deep-learning architectures. In this work …

Not all refugees are framed equal: Explaining the difference between the news coverage in the Global North and the Global South

E Fabregat, F Severino - … Journal of Media & Cultural Politics, 2024 - intellectdiscover.com
This study analyses 14,854 news articles about refugees from 72 English-language
newspapers worldwide in 2016. Using a combination of topic modelling and network …

Cultural Heritage Interactive Dissemination through Natural Interaction

E Bran, E Bautu, DM Popovici, V Braga, I Cojuhari - 2019 - repository.utm.md
Virtual Heritage is widely used in education, enhancing the learning process by motivation
and by providing a natural experience. New ways for the user to explore cultural heritage …