4 papers
Same Neurons, Different Languages: Probing Morphosyntax in Multilingual Pre-trained Models
Karolina Stańczak, Edoardo Ponti, Lucas Torroba Hennigen +2
The success of multilingual pre-trained models is underpinned by their ability to learn representations shared by multiple languages even in absence of any explicit supervision. Ho…
Classifying Dyads for Militarized Conflict Analysis
Niklas Stoehr, Lucas Torroba Hennigen, Samin Ahbab +2
Understanding the origins of militarized conflict is a complex, yet important undertaking. Existing research seeks to build this understanding by considering bi-lateral relationshi…
Intrinsic Probing through Dimension Selection
Lucas Torroba Hennigen, Adina Williams, Ryan Cotterell
Most modern NLP systems make use of pre-trained contextual representations that attain astonishingly high performance on a variety of tasks. Such high performance should not be pos…
SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection
Ekaterina Vylomova, Jennifer White, Elizabeth Salesky +25
A broad goal in natural language processing (NLP) is to develop a system that has the capacity to process any natural language. Most systems, however, are developed using data from…