347 citations · 972 across the 42 of their papers we have counts for
7 papers · 1 filter
Efficient Methods for Natural Language Processing: A Survey
Marcos Treviso, Ji-Ung Lee, Tianchu Ji +19
Recent work in natural language processing (NLP) has yielded appealing results from scaling model parameters and training data; however, using only scale to improve performance mea…
Training a T5 Using Lab-sized Resources
Manuel R. Ciosici, Leon Derczynski
Training large neural language models on large datasets is resource- and time-intensive. These requirements create a barrier to entry, where those with fewer resources cannot build…
Sparse Probability of Agreement
Jeppe Nørregaard, Leon Derczynski
Measuring inter-annotator agreement is important for annotation tasks, but many metrics require a fully-annotated set of data, where all annotators annotate all samples. We define…
The ITU Faroese Pairs Dataset
Leon Derczynski, Annika Solveig Hedegaard Isfeldt, Signhild Djurhuus
This article documents a dataset of sentence pairs between Faroese and Danish, produced at ITU Copenhagen. The data covers tranlsation from both source languages, and is intended f…
Set Interdependence Transformer: Set-to-Sequence Neural Networks for Permutation Learning and Structure Prediction
Mateusz Jurewicz, Leon Derczynski
The task of learning to map an input set onto a permuted sequence of its elements is challenging for neural networks. Set-to-sequence problems occur in natural language processing,…
Bridging the Domain Gap for Stance Detection for the Zulu language
Gcinizwe Dlamini, Imad Eddine Ibrahim Bekkouch, Adil Khan +1
Misinformation has become a major concern in recent last years given its spread across our information sources. In the past years, many NLP tasks have been introduced in this area,…