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Found 2 papers, 1 papers with code
Exploring Neural Entity Representations for Semantic Information
Neural methods for embedding entities are typically extrinsically evaluated on downstream tasks and, more recently, intrinsically using probing tasks.
Optimizing Segmentation Granularity for Neural Machine Translation
However, the granularity of these subword units is a hyperparameter to be tuned for each language and task, using methods such as grid search.
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