Open Relation Extraction From Chinese Microblog Text

In recent years, the rapid development of microblog provides entity relation extraction (ERE) with a new carrier. However, the characteristics of microblog also bring some challenges for ERE research. Considering the characteristics of microblog, the paper proposes an unsupervised open relation extraction (ORE) method, namely MICRO-ORE. Firstly, MICRO-ORE uses the left-right information entropy method to automatically extract the key phrases from microblog texts, and links them to the external knowledge sources to normalize microblog texts and add the semantic information. Secondly, according to the Chinese syntactic features, MICROORE formulates the extraction rules to extract the relation tuples. We evaluate the proposed method with SINA microblog texts and show that it can extract more information than the traditional relation extraction methods, and meet the accuracy demand. To our best Knowledge, MICRO-ORE is the first Chinese ORE method for microblog texts.