Hanie Sedghi

Knowledge Completion for Generics using Guided Tensor Factorization

2018 · Transactions of the Association for Computational Linguistics

Given a knowledge base or KB containing (noisy) facts about common nouns or generics, such as “all trees produce oxygen” or “some animals live in forests”, we consider the problem of inferring additional such facts …

Leveraging Unlabeled Data to Predict Out-of-Distribution Performance

2022 · arXiv (Cornell University)

Real-world machine learning deployments are characterized by mismatches between the source (training) and target (test) distributions that may cause performance drops. In this work, we investigate methods for predicting the target domain accuracy using only …