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RExtractor: a Robust Information Extractor

Publication at Faculty of Mathematics and Physics |
2015

Abstract

The RExtractor system is an information extractor that processes input documents by natural language processing tools and consequently queries the parsed sentences to extract a knowledge base of entities and their relations. The extraction queries are designed manually using a tool that enables natural graphical representation of queries over dependency trees.

A workflow of the system is designed to be language and domain independent. We demonstrate RExtractor on Czech and English legal documents.