%0 Journal Article %T Learning Semantic Lexicons Using Graph Mutual Reinforcement Based Bootstrapping
利用基于图互增理论的自举算法学习语义辞典 %A ZHANG Qi %A QIU Xi-Peng %A HUANG Xuan-Jing %A WU Li-De %A
张奇 %A 邱锡鹏 %A 黄萱菁 %A 吴立德 %J 自动化学报 %D 2008 %I %X This paper presents a method to learn semantic lexicons using a new bootstrapping method based on graph mutual reinforcement (GMR).The approach uses only unlabeled data and a few seed words to learn new words for each semantic category. Different from other bootstrapping methods,we use GMR-based bootstrapping to sort the candidate words and patterns.Experi- mental results show that the GMR-based bootstrapping approach outperforms the existing algorithms both in in-domain data and out-domain data.Furthermore,it shows that the result depends on not only the size of the corpus but also the quality. %K Semantic lexicon %K bootstrapping %K graph mutual reinforcement (GMR)
图象加强 %K 自动化系统 %K 设计方案 %K 语义范畴 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=1139E787C7048E6DB91BCF11AB339718&yid=67289AFF6305E306&vid=339D79302DF62549&iid=F3090AE9B60B7ED1&sid=FD947B5A26542F64&eid=4AECDC3329847C4A&journal_id=0254-4156&journal_name=自动化学报&referenced_num=1&reference_num=24