3 citations · 4 across the 4 of their papers we have counts for
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FewShotTextGCN: K-hop neighborhood regularization for few-shot learning on graphs
Niels van der Heijden, Ekaterina Shutova, Helen Yannakoudakis
We present FewShotTextGCN, a novel method designed to effectively utilize the properties of word-document graphs for improved learning in low-resource settings. We introduce K-hop…
Multilingual and cross-lingual document classification: A meta-learning approach
Niels van der Heijden, Helen Yannakoudakis, Pushkar Mishra +1
The great majority of languages in the world are considered under-resourced for the successful application of deep learning methods. In this work, we propose a meta-learning approa…
A Comparison of Architectures and Pretraining Methods for Contextualized Multilingual Word Embeddings
Niels van der Heijden, Samira Abnar, Ekaterina Shutova
The lack of annotated data in many languages is a well-known challenge within the field of multilingual natural language processing (NLP). Therefore, many recent studies focus on z…