Regularization Methods
method
ID: regularizationmethods
Related Papers
Regularized Structured Perceptron: A Case Study on Chinese Word Segmentation, POS Tagging and Parsing
Structured perceptron becomes popular for various NLP tasks such as tagging and parsing. Practical studies on NLP did not pay much attention to its regularization. In this paper, we study …...
Naive Regularizers for Low-Resource Neural Machine Translation
AbstractNeural machine translation models have little inductive bias, which can be a disadvantage in low-resource scenarios. Neural models have to be trained on large amounts of data and have been …...