Papers by Andreas Hamm

1 papers
Corpus Annotation Graph Builder (CAG): An Architectural Framework to Create and Annotate a Multi-source Graph (2023.eacl-demo)

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Challenge: Graphs are a natural representation of complex data as their structure allows users to discover (often implicit) relations among the nodes intuitively.
Approach: They propose a corpus annotation graph framework that extends graphs with automatically extracted annotations.
Outcome: The proposed framework can be used for further analyses across multiple downstream tasks.

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