BriefGPT.xyz
Sep, 2019
一切皆有因:在程序性文本中发现行动目的
Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text
HTML
PDF
Bhavana Dalvi Mishra, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark
TL;DR
该研究目标在于通过开发新模型XPAD,解释性地预测动作之间的依赖关系,以及扩展ProPara基准数据集来解释行动,结果表明XPAD在新的任务中显著优于之前的系统。
Abstract
Our goal is to better comprehend
procedural text
, e.g., a paragraph about photosynthesis, by not only predicting what happens, but why some actions need to happen before others. Our approach builds on a prior
process co
→