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Found 6 papers, 3 papers with code
Negation in Norwegian: an annotated dataset
This paper introduces NorecNeg – the first annotated dataset of negation for Norwegian.
Direct parsing to sentiment graphs
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.
Structured Sentiment Analysis as Dependency Graph Parsing
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 extraction or targeted polarity classification.
End-to-End Negation Resolution as Graph Parsing
We present a neural end-to-end architecture for negation resolution based on a formulation of the task as a graph parsing problem.
Improving Semantic Dependency Parsing with Syntactic Features
We extend a state-of-the-art deep neural architecture for semantic dependency parsing with features defined over syntactic dependency trees.
Exploiting Structure in Parsing to 1-Endpoint-Crossing Graphs
Deep dependency parsing can be cast as the search for maximum acyclic subgraphs in weighted digraphs.
