This paper reports on modern approaches in Information Extraction (IE) and its two main sub-tasks of Named Entity Recognition (NER) and Relation Extraction (RE). Basic concepts and the most recent approaches in this area are reviewed, which mainly include Machine Learning (ML) based approaches and the more recent trend to Deep Learning (DL) based methods.
翻译:本文件报告了信息提取(IE)的现代方法及其称为实体识别(NER)和关系提取(RE)的两个主要次级任务。 审查了这一领域的基本概念和最新方法,其中主要包括基于机器学习(ML)的方法和最近采用基于深学习(DL)方法的趋势。