Adaptations of ROUGE and BLEU to Better Evaluate Machine Reading Comprehension Task [article]

An Yang, Kai Liu, Jing Liu, Yajuan Lyu, Sujian Li
2018 arXiv   pre-print
Current evaluation metrics to question answering based machine reading comprehension (MRC) systems generally focus on the lexical overlap between the candidate and reference answers, such as ROUGE and BLEU. However, bias may appear when these metrics are used for specific question types, especially questions inquiring yes-no opinions and entity lists. In this paper, we make adaptations on the metrics to better correlate n-gram overlap with the human judgment for answers to these two question
more » ... es. Statistical analysis proves the effectiveness of our approach. Our adaptations may provide positive guidance for the development of real-scene MRC systems.
arXiv:1806.03578v1 fatcat:g66b2rwv5jbnjie5vtwhzuuw5e