https://scholars.lib.ntu.edu.tw/handle/123456789/632512
標題: | Chinese Open Relation Extraction for Knowledge Acquisition | 作者: | Tseng Y.-H Lee L.-H Lin S.-Y Liao B.-S Liu M.-J HSIN-HSI CHEN Etzioni O Fader A. |
公開日期: | 2014 | 起(迄)頁: | 12月16日 | 來源出版物: | EACL 2014 - 14th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference | 摘要: | This 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 Linguistics |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84923132098&partnerID=40&md5=df7b453058e98835232f60e3f005dec5 https://scholars.lib.ntu.edu.tw/handle/123456789/632512 |
SDG/關鍵字: | Computational 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 acquisition |
顯示於: | 資訊工程學系 |
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