RACE
Related Papers
Linguistic analysis of differences in portrayal of movie characters
AbstractWe examine differences in portrayal of characters in movies using psycholinguistic and graph theoretic measures computed directly from screenplays. Differences are examined with respect to characters’ gender, race, age and …...
RACE: Large-scale ReAding Comprehension Dataset From Examinations
AbstractWe present RACE, a new dataset for benchmark evaluation of methods in the reading comprehension task. Collected from the English exams for middle and high school Chinese students in the …...
Reading Comprehension with Graph-based Temporal-Casual Reasoning
AbstractComplex questions in reading comprehension tasks require integrating information from multiple sentences. In this work, to answer such questions involving temporal and causal relations, we generate event graphs from text …...
Evidence Sentence Extraction for Machine Reading Comprehension
AbstractRemarkable success has been achieved in the last few years on some limited machine reading comprehension (MRC) tasks. However, it is still difficult to interpret the predictions of existing MRC …...
Improving Machine Reading Comprehension with General Reading Strategies
AbstractReading strategies have been shown to improve comprehension levels, especially for readers lacking adequate prior knowledge. Just as the process of knowledge accumulation is time-consuming for human readers, it is …...
Inferential Machine Comprehension: Answering Questions by Recursively Deducing the Evidence Chain from Text
AbstractThis paper focuses on the topic of inferential machine comprehension, which aims to fully understand the meanings of given text to answer generic questions, especially the ones needed reasoning skills. …...
Sociolectal Analysis of Pretrained Language Models
AbstractUsing data from English cloze tests, in which subjects also self-reported their gender, age, education, and race, we examine performance differences of pretrained language models across demographic groups, defined by …...