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Keyword: Chinese students ×Clear all

1 claim from 1 paper

1. Computer Science › Topic Modeling

   RACE: Large-scale ReAding Comprehension Dataset From Examinations

   Lai, Xie, Liu, Yang and Hovy · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 2017

   The authors present RACE, a dataset of about 28,000 passages and 100,000 questions from English exams for Chinese school students, built to test machine reading comprehension.

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   1. UncheckedIn RACE, more questions need reasoning than in other reading-comprehension benchmarks, and the best models (43%) trail human performance (95%).“In particular, the proportion of questions that requires reasoning is much larger in RACE than that in other benchmark datasets for reading comprehension, and there is a significant gap between the performance of the state-of-the-art models (43%) and the ceiling human performance (95%).”