62 citations · 199 across the 49 of their papers we have counts for
5 papers · 1 filter
The Best of Both Worlds: Lexical Resources To Improve Low-Resource Part-of-Speech Tagging
Barbara Plank, Sigrid Klerke, Zeljko Agic
In natural language processing, the deep learning revolution has shifted the focus from conventional hand-crafted symbolic representations to dense inputs, which are adequate repre…
Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat
Ravi Shekhar, Aashish Venkatesh, Tim Baumgärtner +4
We propose a grounded dialogue state encoder which addresses a foundational issue on how to integrate visual grounding with dialogue system components. As a test-bed, we focus on t…
Distant Supervision from Disparate Sources for Low-Resource Part-of-Speech Tagging
Barbara Plank, Željko Agić
We introduce DsDs: a cross-lingual neural part-of-speech tagger that learns from disparate sources of distant supervision, and realistically scales to hundreds of low-resource lang…
Bleaching Text: Abstract Features for Cross-lingual Gender Prediction
Rob van der Goot, Nikola Ljubešić, Ian Matroos +2
Gender prediction has typically focused on lexical and social network features, yielding good performance, but making systems highly language-, topic-, and platform-dependent. Cros…
Strong Baselines for Neural Semi-supervised Learning under Domain Shift
Sebastian Ruder, Barbara Plank
Novel neural models have been proposed in recent years for learning under domain shift. Most models, however, only evaluate on a single task, on proprietary datasets, or compare to…