Interpretable Entity Representations through Large-Scale Typing

Onoe Yasumasa
Onoe Yasumasa

EMNLP, pp. 612-624, 2020.

Other Links: arxiv.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

In standard methodology for natural language processing, entities in text are typically embedded in dense vector spaces with pre-trained models. Such approaches are strong building blocks for entity-related tasks, but the embeddings they produce require extensive additional processing in neural models, and these entity embeddings are fu...More

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