Tseng Y.-HLee L.-HLin S.-YLiao B.-SLiu M.-JHSIN-HSI CHENEtzioni OFader A.2023-06-092023-06-092014https://www.scopus.com/inward/record.uri?eid=2-s2.0-84923132098&partnerID=40&md5=df7b453058e98835232f60e3f005dec5https://scholars.lib.ntu.edu.tw/handle/123456789/632512This study presents the Chinese Open Relation Extraction (CORE) system that is able to extract entity-relation triples from Chinese free texts based on a series of NLP techniques, i.e., word segmentation, POS tagging, syntactic parsing, and extraction rules. We employ the proposed CORE techniques to extract more than 13 million entity-relations for an open domain question answering application. To our best knowledge, CORE is the first Chinese Open IE system for knowledge acquisition. © 2014 Association for Computational LinguisticsComputational linguistics; Extraction; Natural language processing systems; Syntactics; Extraction rule; Extraction systems; Extraction techniques; Free texts; Open domain question answering; Relation extraction; Syntactic parsing; Word segmentation; Knowledge acquisitionconference paper2-s2.0-84923132098