62 citations · 199 across the 49 of their papers we have counts for
8 papers · 1 filter
How Universal is Genre in Universal Dependencies?
Max Müller-Eberstein, Rob van der Goot, Barbara Plank
This work provides the first in-depth analysis of genre in Universal Dependencies (UD). In contrast to prior work on genre identification which uses small sets of well-defined labe…
Genre as Weak Supervision for Cross-lingual Dependency Parsing
Max Müller-Eberstein, Rob van der Goot, Barbara Plank
Recent work has shown that monolingual masked language models learn to represent data-driven notions of language variation which can be used for domain-targeted training data selec…
Cartography Active Learning
Mike Zhang, Barbara Plank
We propose Cartography Active Learning (CAL), a novel Active Learning (AL) algorithm that exploits the behavior of the model on individual instances during training as a proxy to f…
Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL)
Michael A. Hedderich, Benjamin Roth, Katharina Kann +3
Welcome to WeaSuL 2021, the First Workshop on Weakly Supervised Learning, co-located with ICLR 2021. In this workshop, we want to advance theory, methods and tools for allowing exp…
DaN+: Danish Nested Named Entities and Lexical Normalization
Barbara Plank, Kristian Nørgaard Jensen, Rob van der Goot
This paper introduces DaN+, a new multi-domain corpus and annotation guidelines for Danish nested named entities (NEs) and lexical normalization to support research on cross-lingua…
De-identification of Privacy-related Entities in Job Postings
Kristian Nørgaard Jensen, Mike Zhang, Barbara Plank
De-identification is the task of detecting privacy-related entities in text, such as person names, emails and contact data. It has been well-studied within the medical domain. The…