24 citations · 63 across the 44 of their papers we have counts for
7 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…
Parsing with Pretrained Language Models, Multiple Datasets, and Dataset Embeddings
Rob van der Goot, Miryam de Lhoneux
With an increase of dataset availability, the potential for learning from a variety of data sources has increased. One particular method to improve learning from multiple data sour…
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…
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…
From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding
Rob van der Goot, Ibrahim Sharaf, Aizhan Imankulova +6
The lack of publicly available evaluation data for low-resource languages limits progress in Spoken Language Understanding (SLU). As key tasks like intent classification and slot f…
On the Effectiveness of Dataset Embeddings in Mono-lingual,Multi-lingual and Zero-shot Conditions
Rob van der Goot, Ahmet Üstün, Barbara Plank
Recent complementary strands of research have shown that leveraging information on the data source through encoding their properties into embeddings can lead to performance increas…