Papers by Daichuan Yang

1 papers
TDEER: An Efficient Translating Decoding Schema for Joint Extraction of Entities and Relations (2021.emnlp-main)

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Challenge: Existing methods to extract entities and relations from unstructured texts are difficult to handle due to the overlapping triple problem.
Approach: They propose a translation decoding schema for joint extraction of entities and relations from unstructured texts to form factual triples.
Outcome: The proposed model can handle the overlapping triple problem, and is 2 times faster than the state-of-the-art models.

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