activity
20192022
most citedLarge-Scale Contextualised Language Modelling for Norwegian

16 citations · 17 across the 5 of their papers we have counts for

collaborators

8 papers

cs.CL2022

EventGraph at CASE 2021 Task 1: A General Graph-based Approach to Protest Event Extraction

Huiling You, David Samuel, Samia Touileb +1

This paper presents our submission to the 2022 edition of the CASE 2021 shared task 1, subtask 4. The EventGraph system adapts an end-to-end, graph-based semantic parser to the tas…

cs.CL20221 cited

EventGraph: Event Extraction as Semantic Graph Parsing

Huiling You, David Samuel, Samia Touileb +1

Event extraction involves the detection and extraction of both the event triggers and corresponding event arguments. Existing systems often decompose event extraction into multiple…

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

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.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…

cs.CL2021

If you've got it, flaunt it: Making the most of fine-grained sentiment annotations

Jeremy Barnes, Lilja Øvrelid, Erik Velldal

Fine-grained sentiment analysis attempts to extract sentiment holders, targets and polar expressions and resolve the relationship between them, but progress has been hampered by th…