Interpretable Entity Representations through Large-Scale Typing

30 Apr 2020Yasumasa OnoeGreg Durrett

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 fundamentally difficult to interpret... (read more)

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