Search Results for author:
Found 2 papers, 0 papers with code
Towards Automated Error Analysis: Learning to Characterize Errors
We propose a novel form of "meta learning" that automatically learns interpretable rules that characterize the types of errors that a system makes, and demonstrate these rules' ability to help understand and improve two NLP systems.
A Novel Information Theoretic Framework for Finding Semantic Similarity in WordNet
Accuracy of intrinsic IC calculation and semantic similarity measure rely on these aspects deeply.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
