학술논문

A Study of Recent Contributions on Information Extraction
Document Type
Working Paper
Source
Subject
Computer Science - Information Retrieval
Computer Science - Computation and Language
Language
Abstract
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.