Papers with implicit structured representations of entity names

1 papers
Learning Structured Representations of Entity Names using Active Learning and Weak Supervision (2020.emnlp-main)

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Challenge: Structured representations of entity names are useful for many entity-related tasks such as entity normalization and variant generation.
Approach: They propose a framework that combines active learning and weak supervision to solve this problem.
Outcome: The proposed framework enables learning of high-quality models from a dozen labeled examples.

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