Search Results for author:
Found 11 papers, 2 papers with code
Don’t Search for a Search Method — Simple Heuristics Suffice for Adversarial Text Attacks
Recently more attention has been given to adversarial attacks on neural networks for natural language processing (NLP).
Understanding Text Classification Data and Models Using Aggregated Input Salience
Realizing when a model is right for a wrong reason is not trivial and requires a significant effort by model developers.
Don't Search for a Search Method -- Simple Heuristics Suffice for Adversarial Text Attacks
Recently more attention has been given to adversarial attacks on neural networks for natural language processing (NLP).
We Need to Talk About Random Splits
We argue that random splits, like standard splits, lead to overly optimistic performance estimates.
Ultradense Word Embeddings by Orthogonal Transformation
Embeddings are generic representations that are useful for many NLP tasks.
Attention-Based Convolutional Neural Network for Machine Comprehension
Understanding open-domain text is one of the primary challenges in natural language processing (NLP).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
