1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2023
Finding the Needle in a Haystack: Unsupervised Rationale Extraction from Long Text Classifiers
Kamil Bujel, Andrew Caines, Helen Yannakoudakis +1
Long-sequence transformers are designed to improve the representation of longer texts by language models and their performance on downstream document-level tasks. However, not much…
cs.CL2023★ 1 cited
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…