We introduce a new Information Extraction (IE) task dubbed Instruction-based
IE, which aims to ask the system to follow specific instructions or guidelines
to extract information. To facilitate research in this area, we construct a
dataset called InstructIE, consisting of 270,000 weakly supervised data from
Chinese Wikipedia and 1,000 high-quality crowdsourced annotated instances. We
further evaluate the performance of various baseline models on the InstructIE
dataset. The results reveal that although current models exhibit promising
performance, there is still room for improvement. Furthermore, we conduct a
comprehensive case study analysis, underlining the challenges inherent in the
Instruction-based IE task. Code and dataset are available at
this https URL

该论文介绍了一种新的信息提取任务，名为 Instruction-based IE，旨在要求系统根据特定的指示或指南提取信息。作者从中文维基百科和高质量众包注释实例构造了一个名为 InstructIE 的数据集，并评估了各种基线模型在该数据集上的性能。结果表明，当前的模型表现出有希望的性能，但仍有改进的空间。此外，作者进行了综合案例分析，强调了 Instruction-based IE 任务中固有的挑战。