activity
20172022
most citedLarge-Scale Contextualised Language Modelling for Norwegian

16 citations · 27 across the 12 of their papers we have counts for

collaborators

20 papers

cs.CL20222 cited

Annotating Norwegian Language Varieties on Twitter for Part-of-Speech

Petter Mæhlum, Andre Kåsen, Samia Touileb +1

Norwegian Twitter data poses an interesting challenge for Natural Language Processing (NLP) tasks. These texts are difficult for models trained on standardized text in one of the t…

cs.CL2022

Direct parsing to sentiment graphs

David Samuel, Jeremy Barnes, Robin Kurtz +3

This paper demonstrates how a graph-based semantic parser can be applied to the task of structured sentiment analysis, directly predicting sentiment graphs from text. We advance th…

cs.CL2021

The interplay between language similarity and script on a novel multi-layer Algerian dialect corpus

Samia Touileb, Jeremy Barnes

Recent years have seen a rise in interest for cross-lingual transfer between languages with similar typology, and between languages of various scripts. However, the interplay betwe…

cs.CL2021

Structured Sentiment Analysis as Dependency Graph Parsing

Jeremy Barnes, Robin Kurtz, Stephan Oepen +2

Structured sentiment analysis attempts to extract full opinion tuples from a text, but over time this task has been subdivided into smaller and smaller sub-tasks, e,g,, target extr…

cs.CL2021

skweak: Weak Supervision Made Easy for NLP

Pierre Lison, Jeremy Barnes, Aliaksandr Hubin

We present skweak, a versatile, Python-based software toolkit enabling NLP developers to apply weak supervision to a wide range of NLP tasks. Weak supervision is an emerging machin…

cs.CL202116 cited

Large-Scale Contextualised Language Modelling for Norwegian

Andrey Kutuzov, Jeremy Barnes, Erik Velldal +2

We present the ongoing NorLM initiative to support the creation and use of very large contextualised language models for Norwegian (and in principle other Nordic languages), includ…