sebastianruder--nlp-progress
wehub-resource-sync
24 行
969 B
Markdown
24 行
969 B
Markdown
# Multi-task learning
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Multi-task learning aims to learn multiple different tasks simultaneously while maximizing
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performance on one or all of the tasks.
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### DecaNLP
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The [Natural Language Decathlon](https://arxiv.org/abs/1806.08730) (decaNLP) is a benchmark for studying general NLP
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models that can perform a variety of complex, natural language tasks.
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It evaluates performance on ten disparate natural language tasks.
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Results can be seen on the [public leaderboard](https://decanlp.com/).
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### GLUE
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The [General Language Understanding Evaluation benchmark](https://arxiv.org/abs/1804.07461) (GLUE)
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is a tool for evaluating and analyzing the performance of models across a diverse
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range of existing natural language understanding tasks. Models are evaluated based on their
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average accuracy across all tasks.
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The state-of-the-art results can be seen on the public [GLUE leaderboard](https://gluebenchmark.com/leaderboard).
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[Go back to the README](../README.md)
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