Inventors:
- Seattle WA, US
Robert E. Bart - Bellevue WA, US
Mausum - Seattle WA, US
Michael D. Schmitz - Langley WA, US
Stephen G. Soderland - Bainbridge Island WA, US
International Classification:
G06F 17/27
Abstract:
Open Information Extraction (IE) systems extract relational tuples from text, without requiring a pre-specified vocabulary, by identifying relation phrases and associated arguments in arbitrary sentences. However, state-of-the-art Open IE systems such as RVand share two important weaknesses—(1) they extract only relations that are mediated by verbs, and (2) they ignore context, thus extracting tuples that are not asserted as factual. This paper presents , a substantially improved Open IE system that addresses both these limitations. First, achieves high yield by extracting relations mediated by nouns, adjectives, and more. Second, a context-analysis step increases precision by including contextual information from the sentence in the extractions. obtains 2.7 times the area under precision-yield curve (AUC) compared to RVand 1.9 times the AUC of .