2 papers
cs.LG2022
Low-Rank Softmax Can Have Unargmaxable Classes in Theory but Rarely in Practice
Andreas Grivas, Nikolay Bogoychev, Adam Lopez
Classifiers in natural language processing (NLP) often have a large number of output classes. For example, neural language models (LMs) and machine translation (MT) models both pre…
cs.CL2018
What do character-level models learn about morphology? The case of dependency parsing
Clara Vania, Andreas Grivas, Adam Lopez
When parsing morphologically-rich languages with neural models, it is beneficial to model input at the character level, and it has been claimed that this is because character-level…