Papers by Mauricio Hernandez

1 papers
Exploiting Structure in Representation of Named Entities using Active Learning (C18-1)

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Challenge: Named entities are atomic objects of reference and reasoning in many knowledge-centric applications.
Approach: They propose an active-learning based framework that drastically reduces the labeled data required to learn entities' structures.
Outcome: The proposed framework outperforms handwritten programs and supervised learning models in relation extraction and entity resolution tasks.

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