Papers by Demian Gholipour Ghalandari

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Challenge:	Existing approaches to zero-shot named entity recognition rely on distant supervision and training data for unseen labels.
Approach:	They propose an efficient architecture and training paradigm for zero-shot relation classification . they use a protocol to generate multiple relation labels in a single forward pass .
Outcome:	The proposed architecture and training paradigm achieve state-of-the-art results on the zero-shot relation classification task.