Wordpiece токенизациясы

AbstractDue to the compelling improvements brought by BERT, many recent representation models adopted the Transformer architecture as their main building block, consequently inheriting the wordpiece tokenization system despite it not …...

Preprocessing is essential for creating more ef- fective features and reducing noise in classifi- cation, especially in user-generated data (e.g. Twitter). How each individual preprocessing decision changes an individual classifier’s …...

AbstractTokenization is a fundamental preprocessing step for almost all NLP tasks. In this paper, we propose efficient algorithms for the WordPiece tokenization used in BERT, from single-word tokenization to general …...