Papers with subword regularization method

2 papers
BPE-Dropout: Simple and Effective Subword Regularization (2020.acl-main)

Copied to clipboard

Challenge: Subword segmentation is widely used to address the open vocabulary problem in machine translation.
Approach: They propose a method that stochastically corrupts the segmentation procedure of BPE and produces multiple segmentations within the same fixed BPE framework.
Outcome: The proposed method produces multiple segmentations within the same fixed BPE framework.
MaxMatch-Dropout: Subword Regularization for WordPiece (2022.coling-1)

Copied to clipboard

Challenge: Existing subword regularization methods are specialized to a particular tokenizer type.
Approach: They propose a subword regularization method for WordPiece that uses a maximum matching algorithm for tokenization.
Outcome: The proposed method improves the performance of text classification and machine translation tasks as well as other subword regularization methods.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations