Papers by Cezar Sas

2 papers
X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension (D19-61)

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Challenge: Existing knowledge bases are heavily biased towards English, but Wikipedias cover very different topics in different languages.
Approach: They propose a multilingual dataset that frams relation extraction as a machine reading problem.
Outcome: The proposed model can be used to transfer models cross-lingually and improves knowledge base completion across languages.
WikiBank: Using Wikidata to Improve Multilingual Frame-Semantic Parsing (2020.lrec-1)

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Challenge: Frame-semantic annotations exist for a tiny fraction of the world’s languages, however, Wikidata provides a common, distant supervision signal for semantic parsers.
Approach: They propose a multilingual resource with partial semantic dependency structures that can be used to extend pre-existing resources rather than creating new man-made resources from scratch.
Outcome: The proposed resource can be used to augment pre-existing resources or reduce the annotation effort for low-resource languages.

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