A Study of Recent Contributions on Information Extraction

Parisa Naderi Golshan, HosseinAli Rahmani Dashti, Shahrzad Azizi, Leila Safari

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.

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