论文标题
部分可观测时空混沌系统的无模型预测
A Survey of Machine Narrative Reading Comprehension Assessments
论文作者
论文摘要
随着有关机器叙事理解的研究的增长，考虑绩效评估策略以及不同基准任务的深度和范围的迫切需要。基于叙事理论，阅读理解理论以及现有的机器叙事阅读理解任务和数据集，我们提出了一种类型学，以捕获评估任务之间的主要相似性和差异；并讨论我们类型学对新任务设计的含义以及叙事阅读理解的挑战。
As the body of research on machine narrative comprehension grows, there is a critical need for consideration of performance assessment strategies as well as the depth and scope of different benchmark tasks. Based on narrative theories, reading comprehension theories, as well as existing machine narrative reading comprehension tasks and datasets, we propose a typology that captures the main similarities and differences among assessment tasks; and discuss the implications of our typology for new task design and the challenges of narrative reading comprehension.
