A Study of Recent Contributions on Information Extraction
arXiv:1803.05667v124 citations
Originality Synthesis-oriented
AI Analysis
It provides a survey of existing methods for researchers in Information Extraction, but is incremental as it does not introduce new techniques.
This paper reviews modern approaches in Information Extraction, focusing on Named Entity Recognition and Relation Extraction, and covers recent trends including Machine Learning and Deep Learning methods.
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.