Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks

Anas Himmi, Ekhine Irurozki, Nathan Noiry +2

The evaluation of natural language processing (NLP) systems is crucial for advancing the field, but current benchmarking approaches often assume that all systems have scores availa…