Multi-dimensional evaluation
is the dominant paradigm for human evaluation in Natural Language Generation (NLG), i.e., evaluating the generated text from multiple explainable dimensions, such as coherence and fluency.
However, automatic evaluation in NLG is still dominated by similarity-based metrics (e.g., ROUGE, BLEU), but they are not sufficient to portray the difference between the advanced generation models.
Therefore, we propose
UniEval
to bridge this gap so that a more comprehensive and fine-grained evaluation of NLG systems can be achieved.
Pre-trained Evaluator
unieval-intermediate
is a pre-trained Boolean Answer Generator after performing intermediate multi-task learning. On top of this checkpoint, you can also train a custom evaluator for a specific NLG task.
Runs of MingZhong unieval-intermediate on huggingface.co
24
Total runs
0
24-hour runs
-1
3-day runs
-1
7-day runs
14
30-day runs
More Information About unieval-intermediate huggingface.co Model
unieval-intermediate huggingface.co
unieval-intermediate huggingface.co is an AI model on huggingface.co that provides unieval-intermediate's model effect (), which can be used instantly with this MingZhong unieval-intermediate model. huggingface.co supports a free trial of the unieval-intermediate model, and also provides paid use of the unieval-intermediate. Support call unieval-intermediate model through api, including Node.js, Python, http.
unieval-intermediate huggingface.co is an online trial and call api platform, which integrates unieval-intermediate's modeling effects, including api services, and provides a free online trial of unieval-intermediate, you can try unieval-intermediate online for free by clicking the link below.
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