62 citations · 199 across the 49 of their papers we have counts for
5 papers · 1 filter
ALL-IN-1: Short Text Classification with One Model for All Languages
Barbara Plank
We present ALL-IN-1, a simple model for multilingual text classification that does not require any parallel data. It is based on a traditional Support Vector Machine classifier exp…
Learning to select data for transfer learning with Bayesian Optimization
Sebastian Ruder, Barbara Plank
Domain similarity measures can be used to gauge adaptability and select suitable data for transfer learning, but existing approaches define ad hoc measures that are deemed suitable…
To Normalize, or Not to Normalize: The Impact of Normalization on Part-of-Speech Tagging
Rob van der Goot, Barbara Plank, Malvina Nissim
Does normalization help Part-of-Speech (POS) tagging accuracy on noisy, non-canonical data? To the best of our knowledge, little is known on the actual impact of normalization in a…
Parsing Universal Dependencies without training
Héctor Martínez Alonso, Željko Agić, Barbara Plank +1
We propose UDP, the first training-free parser for Universal Dependencies (UD). Our algorithm is based on PageRank and a small set of head attachment rules. It features two-step de…
When is multitask learning effective? Semantic sequence prediction under varying data conditions
Héctor Martínez Alonso, Barbara Plank
Multitask learning has been applied successfully to a range of tasks, mostly morphosyntactic. However, little is known on when MTL works and whether there are data characteristics…