Papers by Daniel Stickley

1 papers
Relating Relations: Meta-Relation Extraction from Online Health Forum Posts (2021.eacl-srw)

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Challenge: Relation extraction is a key task in knowledge extraction, and is often defined as identifying relations that hold between entities in text.
Approach: They propose to conceptualise relation extraction tasks for user-generated health texts and create a dataset and model for meta-relation extraction.
Outcome: The proposed model will be able to extract meta-relations from user-generated health texts with tolerable cognitive load and a new dataset and annotation scheme with tolerance for annotations.

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