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Juhyuk Lee

2 accepted papers

2022

Does it Really Generalize Well on Unseen Data? Systematic Evaluation of Relational Triple Extraction Methods

NAACL 2022long

The ability to extract entities and their relations from unstructured text is essential for the automated maintenance of large-scale knowledge graphs. To keep a knowledge graph up-to-date, an extractor needs not only the ability to recall the triples it encountered during training, but also the abil…

2020

Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks

ICLR 2020poster

Handling missing data is one of the most fundamental problems in machine learning. Among many approaches, the simplest and most intuitive way is zero imputation, which treats the value of a missing entry simply as zero. However, many studies have experimentally confirmed that zero imputation results…

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