Papers by Georgeta Bordea

1 papers
Evaluation Dataset and Methodology for Extracting Application-Specific Taxonomies from the Wikipedia Knowledge Graph (2020.lrec-1)

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Challenge: Recent efforts to extract hierarchical relations from unstructured text have been challenging.
Approach: They propose an iterative method to extract an application-specific gold standard dataset from a Wikipedia knowledge graph and an evaluation framework to assess the quality of noisy automatically extracted taxonomies.
Outcome: The proposed method reduces manual work and provides a first gold standard dataset and evaluation framework.

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