MinIE is an Open Information Extraction system which provides useful extractions (in unsupervised manner) from natural language sentences. The extractions are in the form of triples. It represents information about polarity, modality, attribution, and quantities with semantic annotations instead of in the actual extraction. MinIE also identifies and removes words in the extractions that are considered overly specific. As a result, it gives shorter, semantically enriched extractions with high precision and recall.
Kiril Gashteovski, Rainer Gemulla, Luciano del Corro
MinIE: Minimizing Facts in Open Information Extraction [pdf]
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017
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