In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
Q: The goal of open information extraction (OIE) is to extract surface relations and their arguments from naturallanguage text in an unsupervised, domainindependent manner. In this paper, we explore how overly-specific extractions can be reduced in OIE systems without producing uninformative or inaccurate results. We propose MinIE, an OIE system that produces minimized, annotated extractions. At its heart, MinIE rewrites OIE extractions by (1) identifying and removing parts that are considered overly specific; (2) representing information about polarity, modality, attribution, and quantities with suitable annotations instead of in the actual extraction. We conducted an experimental study with several real-world datasets and found that MinIE achieves competitive or higher precision and recall than most prior systems, while at the same time producing much shorter extractions.
A:
MinIE: Minimizing Facts in Open Information Extraction