3 accepted papers
Over the past 10 years in NLP/ML, as in other fields of science, there has been growing interest in, and work on, reproducibility and methods for improving it. Identical experiments producing different results can be due to variation between samples of evaluation items or evaluators, but it can also
Research shows that two evaluation experiments reporting results for the same quality criterion name (e.g. Fluency) do not necessarily evaluate the same aspect of quality. Not knowing when two evaluations are comparable in this sense means we currently lack the ability to draw conclusions based on m…
Human evaluation is widely regarded as the litmus test of quality in NLP. A basic requirementof all evaluations, but in particular where they are used for meta-evaluation, is that they should support the same conclusions if repeated. However, the reproducibility of human evaluations is virtually nev…