Uncovering Algorithmic Approaches in Open Information Extraction
Published in 30th Benelux Conference on Artificial Intelligence, 2018
Recommended citation: Injy Sarhan and Marco Spruit, “Uncovering Algorithmic Approaches in Open Information Extraction: A Literature Review”, 30th Benelux Conference on Artificial Intelligence, Hertogenbosch, The Netherlands. (2018, Nov.). https://www.researchgate.net/publication/333922642_uncovering_algorithmic_approaches_in_open_information_extraction
The explosion of mostly unstructured data has further motivated researchers to focus on Natural Language Processing (NLP), hereby encouraging the development of Information Extraction (IE) techniques that target the retrieval of crucial information from unstructured texts. In this paper we present a literature review on Open Information Extraction (OIE). We compare both machine learning and handcrafted rules-based algorithmic approaches and identify the recently proposed Neural OIE approach as a particularly promising area for further research.