MinIE: Minimizing Facts in Open Information Extraction
Kiril Gashteovski, Rainer Gemulla, Luciano Del Corro · 2017
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 propose MinIE, an OIE system that aims to provide useful, compact extractions with high precision and recall.MinIE approaches these goals by (1) representing information about polarity, modality, attribution, and quantities with semantic annotations instead of in the actual extraction, and (2) identifying and removing parts that are considered overly specific.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 shorter, semantically enriched extractions.Pinocchio believes that the hero Superman was not actually born on beautiful Krypton.OLLIE 1 (Pinocchio, believes that, the hero [...] beautiful Krypton) 2 (Superman, was not actually born on, beautiful Krypton) 3 (Superman, was not actually born on beau.Krypton in, the hero) ClausIE 4 (Pinocchio, believes, that the hero [...] beautiful K.) 5 (the hero Superman, was not born, on beautiful Krypton) 6 (the hero Superman, was not born, on beautiful Krypton actually) Stanford OIE No extractions MinIE-C(om-7 (Superman, was born actually on, beautiful Krypton) plete) A.: fact.(-[not], CT), attrib.(Pinocchio, +, PS [believes]) 8 (Superman, was born on, beautiful Krypton) A.: fact.(-[not], CT), attrib.(Pinocchio, +, PS [believes]) 9 (Superman, "is", hero) A.: fact.(+, CT)