Papers by Ralph Grishman
Learning Relatedness between Types with Prototypes for Relation Extraction (2021.eacl-main)
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| Challenge: | Existing datasets have no intrinsic Ontology for relation types. |
| Approach: | They propose to use prototypical examples to represent each relation type and use them to augment related types from a different dataset. |
| Outcome: | The proposed model improves on a baseline with multi-task learning between datasets to obtain better representation for relations. |