Chinese Multi-task Learning

July 27, 2020 ยท View on GitHub

Background

Multi-task learning aims to learn multiple different tasks simultaneously while maximizing performance on one or all of the tasks.

Standard metrics

  • Accuracy of classification.
  • Exact Match.

CLUE.

The Chinese Language Understanding Evaluation Benchmark (CLUE) is a benchmark to evaluate the performance of models across a diverse range of existing natural language understanding tasks. Models are evaluated based on the average scores across all tasks.

The state-of-the-art results can be seen on the public CLUE leaderboard.

Suggestions? Changes? Please send email to chinesenlp.xyz@gmail.com