16 citations · 16 across the 3 of their papers we have counts for
5 papers
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…
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…
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…
DRS at MRP 2020: Dressing up Discourse Representation Structures as Graphs
Lasha Abzianidze, Johan Bos, Stephan Oepen
Discourse Representation Theory (DRT) is a formal account for representing the meaning of natural language discourse. Meaning in DRT is modeled via a Discourse Representation Struc…
Transfer and Multi-Task Learning for Noun-Noun Compound Interpretation
Murhaf Fares, Stephan Oepen, Erik Velldal
In this paper, we empirically evaluate the utility of transfer and multi-task learning on a challenging semantic classification task: semantic interpretation of noun--noun compound…