TextNAS: A Neural Architecture Search Space tailored for Text Representation

Understand

Learning text representation is crucial for text classification and other language related tasks.

• There are a diverse set of text representation networks in the literature, and how to find the optimal one is a non-trivial problem.
• Recently, the emerging Neural Architecture Search (NAS) techniques have demonstrated good potential to solve the problem.
• Nevertheless, most of the existing works of NAS focus on the search algorithms and pay little attention to the search space.